A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
- pytorch
- python
- machine-learning
- deep-learning
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A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A neural network that transforms a design mock-up into a static website.
:satellite: Simple and ready-to-use tutorials for TensorFlow
A curated list for awesome kubernetes sources :ship::tada:
Oxford Deep NLP 2017 course
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
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Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Translated:scroll: 33 concepts every JavaScript engineer should know @leonardomso
This repo is the official home of .NET on GitHub. It's a great starting point to find many .NET OSS projects from Microsoft and the community, including many that are part of the .NET Foundation.
Learn ML engineering for free in 4 months! Register here 👇🏼
Natural Language Processing Tutorial for Deep Learning Researchers
Azure Quickstart Templates
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TranslatedSome interesting examples of python crawlers that are friendly to beginners. Mainly crawls websites such as 淘宝 (Taobao, "searching for treasure"), 天猫 (Tmall, "sky cat"), 微信 (WeChat, "micro message"), 微信读书 (WeChat Reading), 豆瓣 (Douban, "bean petal"), and QQ.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TranslatedTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-Transfer learning
A pattern-based approach to learn technical interview questions
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project