Tensors and Dynamic neural networks in Python with strong GPU acceleration

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

The world's simplest facial recognition api for Python and the command line

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

OpenMMLab Detection Toolbox and Benchmark

PyTorch Tutorial for Deep Learning Researchers

Janus-Series: Unified Multimodal Understanding and Generation Models

Wan: Open and Advanced Large-Scale Video Generative Models

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

A PyTorch implementation of EfficientNet

A faster pytorch implementation of faster r-cnn

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

Tensorflow Faster RCNN for Object Detection

Semantic Segmentation Architectures Implemented in PyTorch

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

Mask RCNN in TensorFlow

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

Faster-RCNN in Tensorflow

Collection of common code that's shared among different research projects in FAIR computer vision team.

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

SECOND for KITTI/NuScenes object detection