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

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

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

The open-source data-centric IDE for NLP. Combining programmatic labeling, extensive data management and neural search capabilities.

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

Code for reproducing Manifold Mixup results (ICML 2019)

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)

Neural networks training pipeline based on PyTorch

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

Learning to Cluster. A deep clustering strategy.

🚤 Label data at scale. Fun and precision included.

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

Free Resources For Data Science created by Shubham Kumar

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.

Official Implement of "ADBench: Anomaly Detection Benchmark".

Advanced High Performance Data Science Toolbox for R by Laurae