Stars
🤗 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
Robust Speech Recognition via Large-Scale Weak Supervision
Financial data platform for analysts, quants and AI agents.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Streamlit — A faster way to build and share data apps.
High-Resolution Image Synthesis with Latent Diffusion Models
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Code and documentation to train Stanford's Alpaca models, and generate the data.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
PyTorch implementations of Generative Adversarial Networks.
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Keras implementations of Generative Adversarial Networks.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.