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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The Web framework for perfectionists with deadlines.
Models and examples built with TensorFlow
The Python micro framework for building web applications.
A curated list of awesome Machine Learning frameworks, libraries and software.
Interact with your documents using the power of GPT, 100% privately, no data leaks
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
A natural language interface for computers
A Gradio web UI for Large Language Models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TensorFlow code and pre-trained models for BERT
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic…
LlamaIndex is a data framework for your LLM applications
Streamlit — A faster way to build and share data apps.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more