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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Command-line program to download videos from YouTube.com and other video sites
A feature-rich command-line audio/video downloader
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
🦜🔗 The platform for reliable agents.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
The Web framework for perfectionists with deadlines.
🏡 Open source home automation that puts local control and privacy first.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Models and examples built with TensorFlow
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
A curated list of awesome Machine Learning frameworks, libraries and software.
Hunt down social media accounts by username across social networks
The Python micro framework for building web applications.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
A high-throughput and memory-efficient inference and serving engine for LLMs