A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

Multitask Learning Resources

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

旨在搭建一个分类问题在Pytorch框架下的通解，批量解决单任务多分类问题、多任务多分类问题。

书籍txt

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

本项目将《动手学深度学习》原书中的MXNet代码实现改为PyTorch实现。

A collection of AWESOME things about domian adaptation

🤘 awesome-semantic-segmentation

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

A library for efficient similarity search and clustering of dense vectors.

Benchmarks of approximate nearest neighbor libraries in Python

Modern C++ Parallel Task Programming Library

Flops counter for convolutional networks in pytorch framework

A small package to create visualizations of PyTorch execution graphs

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

Collection of recent methods on DNN compression and acceleration

Conversion from certain format to another, such as voc , coco , txt , labelme

High-resolution representation learning (HRNets) for facial landmark detection

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

Selective Refinement Network for High Performance Face Detection, AAAI, 2019

Face Analysis Project on MXNet

High quality, fast, modular reference implementation of SSD in PyTorch 1.0

MNN is a lightweight deep neural network inference engine.

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行