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👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻中国独立开发者项目列表 -- 分享大家都在做什么
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
A Python anti-spoofing web app to distinguish real faces from fake ones based on live camera feed
计算机类专业经典书籍集合，Java、Scala、C/C++、算法、计算机基础、数学、英语等电子书以及互联网大厂技术峰会资料
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.
程杰版的《大话设计模式》的C++版本代码
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…
China software copyright extraction tool - 中国软件著作权代码自动提取工具
Efficiently computes derivatives of NumPy code.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Implementation of popular deep learning networks with TensorRT network definition API
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
A collection of pre-trained, state-of-the-art models in the ONNX format
header only, dependency-free deep learning framework in C++14
You like pytorch? You like micrograd? You love tinygrad! ❤️
白卷是一款使用 Vue+Spring Boot 开发的前后端分离项目，附带全套开发教程。（A simple CMS developed by Spring Boot and Vue.js with development tutorials）
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Implementation of Knowing When to Look: Adaptive Attention via a Visual Sentinal for Image Captioning
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.