zxhx Goto Github PK

across

Across the Great Wall we can reach every corner in the world

adanet

Fast and flexible AutoML with learning guarantees.

aliddns

基于AliyunDNS的DDNS脚本

annie

👾 Fast, simple and clean video downloader

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

autoapi-e5

Office E5自动续订

automated-feature-engineering

Automated feature engineering in Python with feature tools

awesome-mlnd

The entry for Udacity Machine Learning Nanodegree program.:smiley::rocket:

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

barron3500

每天背单词打卡行动! （╯#-皿-)╯~~╧═╧ 论 github 的用处

blog_posts

Blog posts for matatat.org

boston_housing

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

brook

Brook is a cross-platform(Linux/MacOS/Windows/Android/iOS) proxy software

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

capstone

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

cn-deep-learning

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

collection_tianya

天涯神贴合集 pdf版 无水印版 免费分享 方便阅读

colossalai

Making large AI models cheaper, faster and more accessible

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

creating_customer_segments

dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

dash-table-experiments

Prototypes of a Dash Table Component

data-competitions

Personal data competition experience and solutions

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

design-patterns-in-javascript

Design Patterns applied to Javascript code.