Models and examples built with TensorFlow

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

PyTorch Tutorial for Deep Learning Researchers

OpenMMLab Detection Toolbox and Benchmark

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

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

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Datasets, Transforms and Models specific to Computer Vision

Machine learning, in numpy

Image augmentation for machine learning experiments.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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

A faster pytorch implementation of faster r-cnn

Minimal PyTorch implementation of YOLOv3

Object detection, 3D detection, and pose estimation using center point detection:

TensorFlow Neural Machine Translation Tutorial

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Gluon CV Toolkit

A general-purpose encoder-decoder framework for Tensorflow

A PyTorch Implementation of Single Shot MultiBox Detector

Image augmentation library in Python for machine learning.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

CNN-RNN中文文本分类，基于TensorFlow

Deformable Convolutional Networks

3D ResNets for Action Recognition (CVPR 2018)

Collection of generative models in Tensorflow

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

Tensorflow Faster RCNN for Object Detection