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100-days-of-ml-code

100 Days of ML Coding

a-light-and-fast-face-detector-for-edge-devices

a light and fast face detector for edge devices

academicmarkdown

Academic writing with Markdown

acm-icpc

ACM-ICPC contest code

activityrecognition

Information about activity recognition

additive-margin-softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

aes

Understanding AES & Rijndael

ahumblevimrc

algojammer

An experimental code editor for writing algorithms

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

alios-things

AliOS Things released by Alibaba is an open-source implementation of operating system (OS) for Internet of Things (IoT).

alphapose

Real-Time Multi-Person Pose Estimation System

android-zxing

android google zxing 可配置扫描框、线样式 ，生成二维码（文字、联系人）

augmentor.jl

A fast image augmentation library in Julia for machine learning.

autokeras

accessible AutoML for deep learning.

awesome-command-line-apps

:shell: Use your terminal shell to do awesome things.

awesome-deep-learning-music

List of articles related to deep learning applied to music

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

awesome_3dreconstruction_list

A curated list of papers & ressources linked to 3D reconstruction from images.

azure-quickstart-templates

Azure Quickstart Templates

badvideo

Course project for cs510 Computation Photography

balance

The matlab snippets I used in my research projects.

ban_cnshort

Ban China Short Video Websites

baozi-test

baozi.jl

a simple static site generator implemented in pure Julia.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

batchnorm-pruning

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124