All Algorithms implemented in Python

OpenMMLab Detection Toolbox and Benchmark

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Python sample codes and textbook for robotics algorithms.

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

Network Analysis in Python

Image augmentation for machine learning experiments.

Refine high-quality datasets and visual AI models

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Pytorch implementation of convolutional neural network visualization techniques

Pythonic AI generation of images and videos

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

OpenMMLab Computer Vision Foundation

Image augmentation library in Python for machine learning.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

NVIDIA's Deep Imagination Team's PyTorch Library

DeepVis Toolbox

3D ResNets for Action Recognition (CVPR 2018)

A highly efficient implementation of Gaussian Processes in PyTorch

Open source Structure-from-Motion pipeline

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

MOT using deepsort and yolov3 with pytorch

Simultaneous object detection and tracking using center points.

DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

PyTorch implementation of SENet

Unsupervised single image depth prediction with CNNs

A large-scale face dataset for face parsing, recognition, generation and editing.