supervised-learning

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 & PaddlePaddle🔥🔥

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

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

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

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

Complete training data platform for machine learning delivered as a single application.

Code for reproducing Manifold Mixup results (ICML 2019)

Neural networks training pipeline based on PyTorch

Implementing machine learning algorithms from scratch.

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)

Re-implement YOLOv3 with TensorFlow

Learning to Cluster. A deep clustering strategy.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Free Resources For Data Science created by Shubham Kumar

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Complete-Life-Cycle-of-a-Data-Science-Project

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

🚤 Never spend O(n) to annotate data again. Fun and precision come free.