100-Days-Of-ML-Code中文版

VIP cheatsheets for Stanford's CS 229 Machine Learning

A library of extension and helper modules for Python's data analysis and machine learning libraries.

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Stock Price Prediction using Machine Learning Techniques

A deep neural network that learns to drive in video games

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

A simple python OCR engine using opencv

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Neural networks training pipeline based on PyTorch

Code for reproducing Manifold Mixup results (ICML 2019)

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

Implementing machine learning algorithms from scratch.

Learning to Cluster. A deep clustering strategy.

Free Resources For Data Science created by Shubham Kumar

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Advanced High Performance Data Science Toolbox for R by Laurae

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

IPython widgets, interactive plots, interactive machine learning

【火炉炼AI】-机器学习系列文章

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)