SunshineZhang's repositories

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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TH-CPL

清华大学计算机学科推荐学术会议和期刊列表

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bolt

10x faster matrix and vector operations.

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awesome-pruning-acceleration

Incredible acceleration with pruning or the other compression techniques

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Robustness-Aware-Pruning-ADMM

Code release for "Adversarial Robustness vs Model Compression, or Both?"

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Awesome-Deep-Neural-Network-Compression

Summary, Code for Deep Neural Network Quantization

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awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

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SJWLYSJDC

神经网络压缩集大成

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Pytorch-Auto-Slim-Tools

pytorch AutoSlim tools,支持三行代码对pytorch模型进行剪枝压缩

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algorithm

My LeetCode Solutions with Explanation and Time Complexity Analysis

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Ubuntu_deploy

最豪华Ubuntu14.04+ 开发办公环境一键部署方案

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Autoslim

A pytorch toolkit for structured neural network pruning automatically

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CopyTranslator

Foreign language reading and translation assistant based on copy and translate.

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drawio-desktop

Official electron build of diagrams.net

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artificial-intelligence

Awesome Artificial Intelligence Projects

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ml-road

Machine Learning Resources, Practice and Research

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TongjiThesis

同济大学硕博士论文LaTeX模板

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seuthesis

LaTeX Thesis Template for Southeast University

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Awesome-model-compression

Collecting some papers about NN model compression

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admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

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Awesome-Neural-Logic

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。

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EfficientDNNs

Collection of recent methods on DNN compression and acceleration

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awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

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Vitis-AI

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

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PENNI

PENNI: Pruned Kernel Sharing for Efficient CNN Inference

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PaperCode-NAS-TAS

Automated deep learning algorithms implemented in PyTorch.

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PapetCode-pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

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Book-Pumpkin

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

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