Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Updated
Feb 2, 2024 - HTML
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Python wrapper for TA-Lib (http://ta-lib.org/).
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Simple and comprehensive tutorials in TensorFlow
Teaching Materials for Dr. Waleed A. Yousef
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
A machine learning program that is able to recognize patterns inside Forex or stock data
Up to 10x faster strings for C, C++, Python, Rust, and Swift, leveraging SWAR and SIMD on Arm Neon and x86 AVX2 & AVX-512-capable chips to accelerate search, sort, edit distances, alignment scores, etc 🦖
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
Code and datasets for the Tsetlin Machine
Efficient Training of Audio Transformers with Patchout
The most powerful and customizable binary pattern scanner
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Glob for C++17
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