A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Datasets, Transforms and Models specific to Computer Vision

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

👊 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

I hope this repo can help you a lot!

计算机408专业课：《计算机操作系统》、《数据结构》、《计算机网络》、《操作系统》分学科整理

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Code for Part-Guided Attention Learning for Vehicle Instance Retrieval (TITS2020). A strong Vehicle Re-ID model with part region guidance.

A scene text recognition toolbox based on PyTorch

Implementation of popular deep learning networks with TensorRT network definition API

Lean's OpenWrt source

A synthetic data generator for text recognition

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

📖 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。

mmdetection in python训练， libtorch in c++部署

model compression and deploy. compression: 1、quantization: quantization-aware-training, 16/8/4/2-bit(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Infere…

A way to rectify curve text images using spatial transformer by pairs of points.