A Simple and Versatile Framework for Object Detection and Instance Recognition

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

Open MMLab Detection Toolbox and Benchmark

SNIPER is an efficient multi-scale object detection algorithm

Code for the paper "Language Models are Unsupervised Multitask Learners"

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

Collection of papers and other resources for object tracking and detection using deep learning

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

PyTorch implementation of two-stream networks for video action recognition

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Fully Convolutional Instance-aware Semantic Segmentation

a tensorflow implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

Models and examples built with TensorFlow

DyNet: The Dynamic Neural Network Toolkit

A PyTorch Implementation of Single Shot MultiBox Detector

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

A PyTorch toolkit for 2D Human Pose Estimation.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Deep universal probabilistic programming with Python and PyTorch