A comprehensive collection of the 101 most useful commands for various programming languages, tools, and technologies.

A simple, modular template for a Linux desktop dashboard application using GTK (C). It is designed as a starting point for building modern, minimal dashboards on Debian-based systems.

Curated collection of high-quality datasets optimized for AI/ML pipelines, data engineering, and model training workflows

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

Motion imitation with deep reinforcement learning.

Fast and flexible AutoML with learning guarantees.

AutoML library for deep learning

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Facilitating the design, comparison and sharing of deep text matching models.

TensorFlow code and pre-trained models for BERT

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Machine learning models and utilities for exoplanet science.

A Flow-based Generative Network for Speech Synthesis

Style transfer, deep learning, feature transform

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

🏖 Keras Implementation of Painting outside the box

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

Implementation of Everybody Dance Now by pytorch

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

A paper list of object detection using deep learning.

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

This repository is no longer maintained.

A WebGL accelerated JavaScript library for training and deploying ML models.

ML.NET is an open source and cross-platform machine learning framework for .NET.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

A collection of research papers on decision, classification and regression trees with implementations.

Convolutional Neural Network for 3D meshes in PyTorch

STUMPY is a powerful and scalable Python library for modern time series analysis