tveek (Tveek)

Tveek

Geek Repo

Location:Shenzhen,China

Home Page:tveek.github.io

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tveek's repositories

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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EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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Shadowsocks-Tutorial

🐱给小白的Shadowsocks和V2ray翻墙教程

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deep_learning

基础的深度学习实验研究结果汇总笔记

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yousan.ai

Awesome resources of yousan.ai(closely related to deep learning).

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note

学习笔记整理📚

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vim

vim配置文件和插件(不再维护)

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graph_nets

Build Graph Nets in Tensorflow

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mxnet-shufflenet

ShuffleNetV1 &ShuffleNetV2 implementation in mxnet

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PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

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CppTemplateTutorial

中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)

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awesome-awesomeness

A curated list of awesome awesomeness

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nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

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Network-Speed-and-Compression

Network acceleration methods

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CS-Notes

:books: Computer Science Learning Notes

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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tveek.github.io

personal website

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DeepLearningBook

MIT Deep Learning Book in PDF format

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Caffe-Python-Tutorial

A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune and compress Net.

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mx-lsoftmax

mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.

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caffe

Caffe: a fast open framework for deep learning.

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Caffe_Code_Analysis

Caffe_Code_Analysis

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caffe_learning

我的caffe学习过程与代码

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gps

Guided Policy Search

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free-programming-books

:books: Freely available programming books

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DeepLearning

this code is for deeplearning

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