Awesome Stars

A curated list of my GitHub stars! Generated by starred.

Contents

• C#
• C++
• CSS
• Dart
• Dockerfile
• Go
• HTML
• Handlebars
• Java
• JavaScript
• Jupyter Notebook
• Makefile
• Others
• PHP
• PLpgSQL
• Python
• Rust
• Shell
• Stata
• TeX
• TypeScript

C#

• HuanLab/BUDDY - Bottom-up MS/MS interrogation & Experiment-specific global annotation

C++

• NVIDIA/FasterTransformer - Transformer related optimization, including BERT, GPT
• TheAlgorithms/C-Plus-Plus - Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
• tensorflow/tensorflow - An Open Source Machine Learning Framework for Everyone

CSS

• tanav2202/Tabular-Data-Generation - Synthetic Data Generation End to End
• omarsar/nlp_overview - Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
• tanav2202/sunderbans-website -
• tanav2202/calculator -
• tanav2202/PhpStore -

Dart

• tanav2202/first_flutter_projects - My first attempt at app dev

Dockerfile

• oxsecurity/megalinter - 🦙 MegaLinter analyzes 50 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHub Action, other CI tools or loca

Go

• ollama/ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
• JefeDavis/Resume-Operator - Kubernetes operator to build & host my resume, powered by operator-builder

HTML

• alshedivat/al-folio - A beautiful, simple, clean, and responsive Jekyll theme for academics
• makcedward/makcedward.github.io -
• kazuki-sf/ChatGPT_Extension - ChatGPT Extension is a really simple Chrome Extension (manifest v3) that you can access OpenAI's ChatGPT from anywhere on the web.
• tanav2202/books - Website about my books
• tanav2202/walls -
• tanav2202/tanav2202.github.io - My Portfolio Website
• neos-20/neos-20.github.io - Official static website for Neos Project

Handlebars

• ibeatai/beat-ai - <Beat AI> 又名 <零生万物> , 是一本专属于软件开发工程师的 AI 入门圣经，手把手带你上手写 AI。从神经网络到大模型，从高层设计到微观原理，从工程实现到算法，学完后，你会发现 AI 也并不是想象中那么高不可攀、无法战胜，Just beat it !

Java

• xa/RetroWrapper - Runtime patches for old versions of Minecraft
• tanav2202/OODM-lab- -

JavaScript

• theshinegupta/AI-Summarizer -
• Significant-Gravitas/AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
• tanav2202/anime_recommendation_system -
• iptv-org/iptv - Collection of publicly available IPTV channels from all over the world
• lowlighter/metrics - 📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

Jupyter Notebook

• amitsangani/Llama - All the projects related to Llama
• myracheng/markedpersonas - Code and data for Marked Personas (ACL 2023)
• LucaCappelletti94/hyperloglog-rs - A Rust implementation of HyperLogLog trying to be parsimonious with memory.
• nicknochnack/StreetFighterRL -
• defog-ai/sqlcoder - SoTA LLM for converting natural language questions to SQL queries
• AI4Finance-Foundation/FinNLP - Democratizing Internet-scale financial data.
• AI4Finance-Foundation/FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
• Stability-AI/StableLM - StableLM: Stability AI Language Models
• tanav2202/WGAN-GP - Wasserstein GAN + Gradient Penalty
• tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware
• SamanthaBiegel/ActiveWeaSuL -
• lazuxd/medium-scraping - Code used to scrape medium
• tanav2202/Algo-Trading -
• tanav2202/A-Study-on-LSTM -
• nuwandavek/talktopapers -
• google-research/growneuron -
• ashishpatel26/Coursera-Guided-Projects-2021 - Coursera Guided Projects 2021
• roboflow/notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like
• tanav2202/Kaggle-Notebooks - A list of Notebooks created by me on Kaggle
• evidentlyai/evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
• stefan-jansen/machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
• Stability-AI/stability-sdk - SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
• google/prompt-to-prompt -
• hemansnation/God-Level-Data-Science-ML-Full-Stack - A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Dat
• HeroKillerEver/coursera-deep-learning - Solutions to all quiz and all the programming assignments!!!
• amanchadha/coursera-gan-specialization - Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
• arnabbiswas1/kaggle_pipeline_tps_aug_22 - Kaggle Pipeline for tabular data competitions
• llSourcell/Gaussian_Mixture_Models - This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
• codebasics/py - Repository to store sample python programs for python learning
• hackassin/Brain-MRI-Style-Transfer-With-GAN - A capstone project dedicated to leveraging Style GAN (Generative Adversarial Network) to generate Brain MRI images of different contrasts
• bnsreenu/python_for_microscopists - https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
• prathimacode-hub/ML-ProjectKart - 🙌Kart of 232+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
• sanskar-hasija/COVID-19_Detection - Official Repository for A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-Scans Paper
• FreeBirdsCrew/AI_ChatBot_Python - AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn
• edualgo/Grokking-Machine-Learning - This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
• GokuMohandas/Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
• cryptonhq/btc_tweets_analysis - Sentiment analysis of tweets related to BITCOIN on order to understand market sentiment and to use this to increase the accuracy of future predictions made using previous BTC data here
• DerwenAI/kglab - Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython,
• tuangauss/DataScienceProjects - The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
• google-research/google-research - Google Research
• labmlai/annotated_deep_learning_paper_implementations - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(c
• tanav2202/Stats-and-ML - A collection of code I write for Stats and Ml and my kaggle notebooks
• fastai/fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
• Garima13a/Automatic-Image-Captioning - In this project, I have created a neural network architecture to automatically generate captions from images. After using the Microsoft Common Objects in COntext (MS COCO) dataset to train my network
• codebasics/deep-learning-keras-tf-tutorial - Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tuto
• microsoft/Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
• hhhrrrttt222111/DS_and_ML_projects - Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
• enthought/Numpy-Tutorial-SciPyConf-2021 - Public GitHub repo for SciPy 2021 tutorial (Introduction to Numerical Computing With NumPy)
• AllenDowney/ThinkBayes2 - Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Makefile

• nbeaver/why-linux-is-better - Objective reasons to prefer Linux to Windows.

Others

• Openning07/awesome-curriculum-learning - some bravo or inspiring research works on the topic of curriculum learning
• aishwaryanr/awesome-generative-ai-guide - A one stop repository for generative AI research updates, interview resources, notebooks and much more!
• JShollaj/awesome-llm-interpretability - A curated list of Large Language Model (LLM) Interpretability resources.
• SimplifyJobs/Summer2024-Internships - Collection of Summer 2024 tech internships!
• vr25/hallucination-foundation-model-survey - A Survey of Hallucination in Large Foundation Models
• HillZhang1999/llm-hallucination-survey - Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"
• evanmiller/LLM-Reading-List - LLM papers I'm reading, mostly on inference and model compression
• kyrolabs/awesome-langchain - 😎 Awesome list of tools and projects with the awesome LangChain framework
• firmai/data-science-career - Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
• rbhatia46/Data-Science-Interview-Resources - A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
• Coder-World04/ML-AI-Research-Papers---Solved - This repository contains everything you need to become proficient in ML/AI Research and Research Papers
• elyase/awesome-gpt3 -
• tanav2202/tanav2202 - readme for github
• eugeneyan/ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
• LirongWu/awesome-graph-self-supervised-learning - Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
• totogo/awesome-knowledge-graph - A curated list of Knowledge Graph related learning materials, databases, tools and other resources
• BrambleXu/knowledge-graph-learning - A curated list of awesome knowledge graph tutorials, projects and communities.
• michael-aloys/awesome-weak-supervision -
• richard-peng-xia/awesome-multimodal-in-medical-imaging - A collection of resources on applications of multi-modal learning in medical imaging.
• afshinea/stanford-cs-230-deep-learning - VIP cheatsheets for Stanford's CS 230 Deep Learning
• google-research/tuning_playbook - A playbook for systematically maximizing the performance of deep learning models.
• louisfb01/best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
• grananqvist/Awesome-Quant-Machine-Learning-Trading - Quant/Algorithm trading resources with an emphasis on Machine Learning
• ahkarami/Deep-Learning-in-Production - In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
• subinium/kaggle-badge - Add dynamically generated Kaggle Tier & Medals on your readme.
• dair-ai/ML-Course-Notes - 🎓 Sharing machine learning course / lecture notes.
• himahuja/Research-Internships-for-Undergraduates - List of Research Internships for Undergraduate Students
• nashory/gans-awesome-applications - Curated list of awesome GAN applications and demo
• tanav2202/dbms_database - SQL Queries Used for College DBMS project
• ml-tooling/best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
• tanav2202/dotstow -
• tanav2202/starred - Github stars compiled using GitHub Actions
• mtdvio/every-programmer-should-know - A collection of (mostly) technical things every software developer should know about
• louisfb01/best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
• dformoso/machine-learning-mindmap - A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
• dipakkr/A-to-Z-Resources-for-Students - ✅ Curated list of resources for college students
• neos-20/Neos-Talks - An Podcast filled with essence of what we learnt and explored in our 1st year of college. Filled with basic knowledge of different technical fields, tools and terms.
• neos-20/node-blog -
• neos-20/learn-django-server -
• neos-20/.github - About
• ossu/data-science - 📊 Path to a free self-taught education in Data Science!
• anshumanv/awesome-anime-sources - A curated list of everything related to anime.

PHP

• tanav2202/CMS - Content Management System made using Php , MySQl/MariaDb in Linux

PLpgSQL

• AlexanderConnelly/BrainTree_SQL_Coding_Challenge_Data_Analyst - A Challenge To Test My SQL Skills For A Braintree Data Analyst Interview Process

Python

• graspologic-org/graspologic - Python package for graph statistics
• VinciGit00/Scrapegraph-ai - Python scraper based on AI
• BerriAI/litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
• qitianwu/DIFFormer - The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
• HendrikStrobelt/LMdiff - A diff tool for language models
• apple/ml-ferret -
• stas00/ml-engineering - Machine Learning Engineering Open Book
• stitionai/devika - Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. D
• MobileTeleSystems/CoolGraph - Make GNN easy to start with
• pygod-team/pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
• microsoft/unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
• openai/grok -
• xai-org/grok-1 - Grok open release
• madaan/minimal-text-diffusion - A minimal implementation of diffusion models for text generation
• OpenMined/PySyft - Perform data science on data that remains in someone else's server
• NVIDIA/NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
• microsoft/ProphetNet - A research project for natural language generation, containing the official implementations by MSRA NLC team.
• lorenzkuhn/semantic_uncertainty -
• sumitjhaleriya/AutoSelfie - This Python script utilizes OpenCV and Pyttsx3 to create a real-time selfie capture application with facial recognition features. It captures a selfie when a smile is detected on a recognized face, an
• explodinggradients/ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
• chengtan9907/OpenSTL - OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
• lucidrains/PaLM-rlhf-pytorch - Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
• tinygrad/tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️
• lucidrains/FLASH-pytorch - Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
• geekan/MetaGPT - 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
• modal-labs/devlooper - A program synthesis agent that autonomously fixes its output by running tests!
• kennethleungty/Llama-2-Open-Source-LLM-CPU-Inference - Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
• invictus717/MetaTransformer - Meta-Transformer for Unified Multimodal Learning
• BlinkDL/RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, sa
• wykswr/breathXplorer - An advanced instrument for breathomics examination
• microsoft/DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
• embedchain/embedchain - Personalizing LLM Responses
• deep-diver/LLM-As-Chatbot - LLM as a Chatbot Service
• zylon-ai/private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
• wchen459/PaDGAN - PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
• SkalskiP/top-cvpr-2023-papers - This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]
• Luodian/Otter - 🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
• gpt-engineer-org/gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
• ZhuMetLab/MetImage - Converting LC−MS-based Untargeted Metabolomics Data into Image towards Clinical Diagnosis
• facebookresearch/HierVL - [CVPR 2023] HierVL Learning Hierarchical Video-Language Embeddings
• steamship-core/python-client -
• rodolflying/GPT_scraper - This repository provides a way to scrape full user history (or use) ChatGPT through 2 methods: frontend "hidden" API based or Selenium based, both have their own pros. It can be helpful for avoiding
• jamesturk/scrapeghost - 👻 Experimental library for scraping websites using OpenAI's GPT API.
• tanav2202/IITM-Assignments - Store to keep programming related solutions given by IITM BSc
• booydar/LM-RMT - Recurrent Memory Transformer
• stochasticai/xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJ
• arnauqb/GradABM-JUNE - Implementation of the JUNE model using Graph Neural Networks in PyTorch
• charlesq34/pointnet - PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
• sergiooramas/tartarus - Deep Learning for audio and text
• ratschlab/RGAN - Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
• uptrain-ai/uptrain - UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform ro
• huggingface/trl - Train transformer language models with reinforcement learning.
• tcapelle/termGPT - A simple wrapper to call openAI's chatGPT on the terminal written in Python
• ashawkey/stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
• radi-cho/datasetGPT - A command-line interface to generate textual and conversational datasets with LLMs.
• cleanlab/cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
• orcax/PGPR - Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
• NVlabs/prismer - The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
• zjunlp/Relphormer - [Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation
• karpathy/minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
• tatsu-lab/stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.
• w86763777/pytorch-gan-metrics - Pytorch implementation of common GAN metrics
• dorarad/gansformer - Generative Adversarial Transformers
• fastapi-users/fastapi-users - Ready-to-use and customizable users management for FastAPI
• cuiziteng/Illumination-Adaptive-Transformer - [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-proces
• timothybrooks/instruct-pix2pix -
• unifyai/ivy - The Unified AI Framework
• karpathy/nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
• khanrc/tf.gans-comparison - Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
• TencentARC/GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
• kserve/kserve - Standardized Serverless ML Inference Platform on Kubernetes
• deepfakes/faceswap - Deepfakes Software For All
• dreamquark-ai/tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
• tanav2202/Tweet-Profanity -
• tensorflow/model-analysis - Model analysis tools for TensorFlow
• gradio-app/gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
• smahesh29/Gender-and-Age-Detection - A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
• d2l-ai/d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
• llSourcell/Pokemon_GAN - This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube
• leonidk/direct_gmm - Project code for "Direct Fitting of Gaussian Mixture Models"
• domus123/gpopy - Genetic algorithm Parameter Optimizer Python (GPOPY)
• AgaMiko/debiasing-effect-of-gans -
• mrlibw/ControlGAN - Pytorch implementation for Controllable Text-to-Image Generation.
• sdv-dev/CTGAN - Conditional GAN for generating synthetic tabular data.
• eriklindernoren/Keras-GAN - Keras implementations of Generative Adversarial Networks.
• dashayushman/TAC-GAN - A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)
• kovidgoyal/kitty - Cross-platform, fast, feature-rich, GPU based terminal
• NVIDIA/NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
• TheAlgorithms/Python - All Algorithms implemented in Python
• abdulfatir/twitter-sentiment-analysis - Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
• vinta/awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
• PyGithub/PyGithub - Typed interactions with the GitHub API v3
• tanav2202/based-cs -
• tanav2202/BegineerPythonProjects -
• tanav2202/Numerical-Methods -
• floodsung/Deep-Learning-Papers-Reading-Roadmap - Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
• suraj-singh12/Project-SearchEverywhere - A tool to fetch you exactly the information you are looking for, from a bunch of files.
• donnemartin/data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW
• saleor/saleor - Saleor Core: the high performance, composable, headless commerce API.

Rust

• lancedb/lance - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD
• AleoNet/snarkOS - A Decentralized Operating System for ZK Applications
• shuttle-hq/synth - The Declarative Data Generator
• Skallwar/suckit - Suck the InTernet
• jhspetersson/fselect - Find files with SQL-like queries
• cryptonhq/tweet_json_modifier -

Shell

• tanav2202/docker-elk - The Elastic stack (ELK) powered by Docker and Compose.
• tanav2202/docker-elk-1 - The Elastic stack (ELK) powered by Docker and Compose.
• tamstrup/pisk - PostgreSQL sessions in Vim
• deviantony/docker-elk - The Elastic stack (ELK) powered by Docker and Compose.
• naibaf0/dotfiles - My dotfiles, with an out-of-date install-script. Arch, Tiling WM (i3, sway), ZSH, Neovim

Stata

• vikjam/mostly-harmless-replication - Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

TeX

• YumcoderCom/learn-rust-lang - Learn Rust
• vdumoulin/conv_arithmetic - A technical report on convolution arithmetic in the context of deep learning
• AllenDowney/ThinkPython2 - LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
• aaronwangy/Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

TypeScript

• Renumics/spotlight - Interactively explore unstructured datasets from your dataframe.
• invoke-ai/InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The s
• interstellard/chatgpt-advanced - WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.
• NuroDev/nuro.dev - 🌿 Personal Portfolio
• Kludex/awesome-fastapi-projects - List of FastAPI projects! 😎 🚀

License

To the extent possible under law, tanav2202 has waived all copyright and related or neighboring rights to this work.