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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.
All Algorithms implemented in Python
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Python tool for converting files and office documents to Markdown.
A high-throughput and memory-efficient inference and serving engine for LLMs
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
The Python micro framework for building web applications.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Unified web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.
Get your documents ready for gen AI
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.
Streamlit — A faster way to build and share data apps.
Developer-first error tracking and performance monitoring
A collection of design patterns/idioms in Python
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
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.
Making large AI models cheaper, faster and more accessible
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…
TensorFlow code and pre-trained models for BERT