🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Streamlit — A faster way to build and share data apps.

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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!

Lightweight demos for finetuning of instruct LLMs. Powered by transformers/accelerate and open-source datasets.

Making large AI models cheaper, faster and more accessible

12 Weeks, 24 Lessons, AI for All!

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

Emotions recognition from audio and text files (only russian language)

Open Source Computer Vision Library

An Open-Source Framework for Prompt-Learning.

An open-source NLP research library, built on PyTorch.

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

Stable Diffusion web UI

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Code and documentation to train Stanford's Alpaca models, and generate the data.

100 Days of ML Coding

Code and documentation to train Stanford's Alpaca models, and generate the data.