Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
- deep-reinforcement-learning
- pytorch
- simple
- deep-learning
88,073 visible repositories in the index
1,681–1,704 of 4,600 · Most stars
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
A model set of guidelines for RESTful APIs and Events, created by Zalando
Code samples for the book "Terraform: Up & Running" by Yevgeniy Brikman
Learn how to automate faceless short-form + long-form video content and dominate YouTube, TikTok, Facebook & Instagram on autopilot — from idea → script → video → scheduled posts.
TRaSH-Guides is a comprehensive collection of guides for Radarr, Sonarr, and related media management applications.
A practical guide to building enterprise AI agents across their full lifecycle.
Harness engineering in two books: constraints, query loops, context governance and multi-agent verification in Claude Code and Codex. harness-books.agentway.dev
algorithms playground for common questions
📚 Jupyter notebook tutorials for OpenVINO™
An ongoing collection of React Native animations crafted with Reanimated, Gesture Handler, and Skia.
Carefully curated resource links for data science in one place
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Digital Forensics Guide. Learn all about Digital Forensics, Computer Forensics, Mobile device Forensics, Network Forensics, and Database Forensics.
🔥 A Complete List of GitHub Profile Badges and Achievements 🔥
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Awesome native Xcode extensions.
Tutorial material on the scientific Python ecosystem
名校公开课程评价网
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
Five lessons, learn how to really apply AI to your .NET Applications
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
A collection of free software and free culture resources for making amazing games. (mirror)