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)

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

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

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

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

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

A deep neural network that learns to drive in video games

A simple python OCR engine using opencv

Code for reproducing Manifold Mixup results (ICML 2019)

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

Implementing machine learning algorithms from scratch.

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

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)

🚤 Label data at scale. Fun and precision included.

Learning to Cluster. A deep clustering strategy.

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

Neural networks training pipeline based on PyTorch

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.