supervised-learning

100-Days-Of-ML-Code中文版

VIP cheatsheets for Stanford's CS 229 Machine Learning

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

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

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

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

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

Toolbox of models, callbacks, and datasets for AI/ML researchers.

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

Stock Price Prediction using Machine Learning Techniques

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

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

A deep neural network that learns to drive in video games

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

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

Code for reproducing Manifold Mixup results (ICML 2019)

Implementing machine learning algorithms from scratch.

Neural networks training pipeline based on PyTorch

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)

Learning to Cluster. A deep clustering strategy.

Re-implement YOLOv3 with TensorFlow

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

Free Resources For Data Science created by Shubham Kumar

🚤 Label data at scale. Fun and precision included.

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

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.