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📚 经典技术书籍 PDF 文件,持续更新...
24 Lessons, 12 Weeks, Get Started as a Web Developer
12 Weeks, 24 Lessons, AI for All!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Compilation of BIOSes for various emulation platforms
Collection of common code that's shared among different research projects in FAIR computer vision team.
Porting Windows Dynamic Link Libraries to Linux
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
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Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
The Tensor Algebra SuperOptimizer for Deep Learning
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
One stop solution for all Vulkan samples
Tutorial for the Vulkan graphics and compute API
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
Implement layer normalization GRU in pytorch
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.