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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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.
Command-line program to download videos from YouTube.com and other video sites
🦜🔗 The platform for reliable agents.
Models and examples built with TensorFlow
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A natural language interface for computers
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Rich is a Python library for rich text and beautiful formatting in the terminal.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The definitive Web UI for local AI, with powerful features and easy setup.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Streamlit — A faster way to build and share data apps.
Making large AI models cheaper, faster and more accessible
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
TensorFlow code and pre-trained models for BERT