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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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.
🤗 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.
🦜🔗 The platform for reliable agents.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
Python tool for converting files and office documents to Markdown.
🏡 Open source home automation that puts local control and privacy first.
Models and examples built with TensorFlow
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
A high-throughput and memory-efficient inference and serving engine for LLMs
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
scikit-learn: machine learning in Python
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Interact with your documents using the power of GPT, 100% privately, no data leaks
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The world's simplest facial recognition api for Python and the command line
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A collection of learning resources for curious software engineers
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
LlamaIndex is the leading framework for building LLM-powered agents over your data.