Models and examples built with TensorFlow

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

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

OpenMMLab Detection Toolbox and Benchmark

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

⚡ A Fast, Extensible Progress Bar for Python and CLI

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

DeepSeek Coder: Let the Code Write Itself

verl: Volcano Engine Reinforcement Learning for LLMs

Machine learning, in numpy

🦉 Data Versioning and ML Experiments

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Minimal and clean examples of machine learning algorithms implementations

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Bayesian Modeling and Probabilistic Programming in Python

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Deep universal probabilistic programming with Python and PyTorch

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

Pytorch implementation of convolutional neural network visualization techniques

A faster pytorch implementation of faster r-cnn

Image processing in Python

OpenMMLab Computer Vision Foundation

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Minimal keyword extraction with BERT

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Deep Clustering for Unsupervised Learning of Visual Features

这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书

mmdetection最小学习版