allensmile Goto Github PK
Name: Allen
Type: User
Bio: Learn something new every day!
Location: Shang hai
Allen's Projects
anatomyofmatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
andrew-ng-notes
This is Andrew NG Coursera Handwritten Notes.
android-open-project
A categorized collection of Android Open Source Projects, More powerful web version:
android-yolo-v2
Android YOLO real time object detection sample application with Tensorflow mobile.
android_data
Some Android learning materials, hoping to help you learn Android development.
androidinterview-q-a
The top Internet companies android interview questions and answers
animegan2-pytorch
PyTorch implementation of AnimeGANv2
anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
annotated_deep_learning_paper_implementations
🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠
annotatedcode
知名开源代码库的注释版：C++、Golang等
anomaly-detection-resources
Anomaly detection related books, papers, videos and toolboxes
anomaly_detection_tuto
Tuto d'anomalie détection sur des séries-temporelles univariés avec un auto-encoder
anti-anti-spider
越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）
antispider
书籍《Python3 反爬虫原理与绕过实战》配套代码
any-rule
🦕 常用正则大全, 支持web / vscode插件2种查询方式.
anyq
FAQ-based Question Answering System
aoe
AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。
apis
Code Repo for API course in Fullstack ND
apollo-11
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
app-dl
Deep Learning and applications in Startups, CV, Text Mining, NLP
applied-deep-learning
Applied Deep Learning
applied-machine-learning-explainability-techniques
Applied Machine Learning Explainability Techniques, published by Packt
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
approachingalmost
Approaching (Almost) Any Machine Learning Problem
apricot
apricot implements submodular selection for the purpose of selecting subsets of massive data sets to train machine learning models quickly.
apue_notes
《UNIX环境高级编程》中文第三版笔记
aquvitae
The Easiest Knowledge Distillation Library for Lightweight Deep Learning
archbase
教科书《计算机体系结构基础》（胡伟武等，第三版）的开源版本
architect-awesome
后端架构师技术图谱
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