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blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

codility-training

Solutions for Codility training assignments in Python

colossalai

Making large AI models cheaper, faster and more accessible

dark-side-of-the-moon

When mother raids Ghouls on the dark side of the moon.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dungeondash

Phaser 3 Open Source Dungeon Crawler Experiment

e2cnn

E(2)-Equivariant CNNs Library for Pytorch

ecosystem

elemental-one

A simple platformer made along the theme of Ludum Dare 28

escnn

Equivariant Steerable CNNs Library for Pytorch

fewx

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

gradio

Create UIs for your machine learning model in Python in 3 minutes

interactive-sam-with-gradio

Interactive SAM Demo with Gradio

lightning

Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

masktrack_box

This is simple implementation of MaskTrack_Box only requiring a bounding box for video object segmentation.

mim

MIM Installs OpenMMLab Packages

mixtraining

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmcv

OpenMMLab Computer Vision Foundation

mmdeploy

OpenMMLab Model Deployment Framework

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmediting

OpenMMLab Image and Video Editing Toolbox

mmengine

OpenMMLab Foundational Library for Training Deep Learning Models

mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

mmtracking

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

my_settings