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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

aqua

Aqua provides a library and tools to build applications for Noisy Intermediate-Scale Quantum (NISQ) computers.

aqua_talks

Some notebooks about Aqua

awesome-asgi

A curated list of awesome ASGI servers, frameworks, apps, libraries, and other resources

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

gha-data-job

instruct-pix2pix

langchain

⚡ Building applications with LLMs through composability ⚡

llm.c

LLM training in simple, raw C/CUDA

modal-examples

Examples of programs built using Modal

notebooks

Runhouse example notebooks.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qc-education

Decks, notebooks, etc. for teaching Quantum Computing

qiskit-aer

Aer is a high performance simulator for quantum circuits that includes noise models

qiskit-chemistry

Qiskit Chemistry is a set of tools, algorithms and software to use for quantum chemistry research.

qiskit-terra

Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.

qiskit-tutorial

A collection of Jupyter notebooks using Qiskit

quantum-education

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

rfcs

RFCs for changes to Qiskit

rh_samples

Sample code from blog posts and demos

self-hosted-chat-your-data

skypilot

SkyPilot is a framework for easily running machine learning workloads on any cloud through a unified interface.

stephenjordan.github.io

text

Data loaders and abstractions for text and NLP

torchx

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

transformers

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

transformers_4_36_release

Playground for transformers 4.36.0 release

tutorials

PyTorch tutorials.