Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
-
Updated
May 21, 2024 - Rust
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
Machine Learning library using what I learned from CS4780, using NumPy only. It supports Bayesian inference, kernelization, ensembles, deep learning, convolutional NN, and Transformers.
A structured 3-year curriculum for data science, covering foundational, intermediate, and advanced topics
This repository serves as a culmination of my studies, dedicated to housing meticulously crafted implementations of various models, including Decision Trees (DTs), Logistic Regression (Lgr), and more, meticulously developed from scratch.
Everything about 📊Data Science, 🎓Computer Science, 🧮Mathematics, 🔬BioInformtics and 🤖Machine learning+ (Final projects, Projects idea, How to pass Interviews, Specializations, Roadmaps, and Open source curriculums)
Using this ML file can anyone develop any machine learning alogitham in regression. almost 99.99 percent all regression models has been used. We need to pick the best machine learning algoritham using this file. Cheers Manju.
A machine learning project that predicts the future price of Ethereum (ETH) using the Coinbase Pro API.
Machine learning algorithms for many-body quantum systems
This is a collection of all the machine learning techniques required in any machine learning project. It contains detailed descriptions, videos, book recommendations, and additional material to properly grasp all the concepts. It also contains implementations in various frameworks.
Web app for used car price predictions
cuML - RAPIDS Machine Learning Library
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.
Prediction of loan status based on training ML models on historical data and predict status, complete with thorough Data Visualization and Exploratory Data analysis
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Implementations of essential machine learning algorithms from scratch
A simple AI in pure c++ to play the snake game
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Solar radiation Prediction Cameroon
TD3-based Deep Reinforcement learning-based collision avoidance of mobile robots in ROS2.