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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of Python frameworks, libraries, tools, and resources.
🤗 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.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
🏡 Open source home automation that puts local control and privacy first.
A high-throughput and memory-efficient inference and serving engine for LLMs
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Financial data platform for analysts, quants and AI agents.
A natural language interface for computers
Scrapy, a fast high-level web crawling & scraping framework for Python.
Rich is a Python library for rich text and beautiful formatting in the terminal.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🎨 Diagram as Code for prototyping cloud system architectures
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A toolkit for developing and comparing reinforcement learning algorithms.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
DSPy: The framework for programming—not prompting—language models
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.