OpenMMLab Detection Toolbox and Benchmark

PyTorch reimplementation of the paper Involution: Inverting the Inherence of Convolution for Visual Recognition [CVPR 2021].

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Simulation of spiking neural networks (SNNs) using PyTorch.

This repository contains implementations and illustrative code to accompany DeepMind publications

This repository contains a startup DXR project.

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

ncnn is a high-performance neural network inference framework optimized for the mobile platform

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Pytorch实现的MASR中文语音识别，目前纯CNN网络，自带3个常见的公开中文语音数据集。

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

COCO API - Dataset @ http://cocodataset.org/

Yolov5 real time smoke detection system

Simplify your onnx model

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程！！！😆🚀

Chinese version of GPT2 training code, using BERT tokenizer.

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

yolov4-tiny ncnn android sample

A framework for training mask-rcnn in pytorch on labelme annotations with pretrained examples of skin, cat, pizza topping, and cutlery object detection and instance segmentation

YOLOv5 C++ Implementation on Android using NCNN framework

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)

A pytorch port of google-research/google-research/robust_loss/

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond