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Starred repositories
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
Command-line program to download videos from YouTube.com and other video sites
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
A feature-rich command-line audio/video downloader
Magnificent app which corrects your previous console command.
🏡 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
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A natural language interface for computers
A collection of learning resources for curious software engineers
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
A collection of design patterns/idioms in Python
Developer-first error tracking and performance monitoring
Making large AI models cheaper, faster and more accessible
TensorFlow code and pre-trained models for BERT
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
LlamaIndex is a data framework for your LLM applications
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Investment Research for Everyone, Everywhere.
A generative speech model for daily dialogue.