A library for efficient similarity search and clustering of dense vectors.

New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos

Cosmos-Predict1 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.

Cosmos-Reason1 models understand the physical common sense and generate appropriate embodied decisions in natural language through long chain-of-thought reasoning processes.

Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.

Screen capture, OCR and translation tool.

Open dubbing is an AI dubbing system which uses machine learning models to automatically translate and synchronize audio dialogue into different languages.

Tree Style Tab, Show tabs like a tree.

Lsyncd (Live Syncing Daemon) synchronizes local directories with remote targets

Stable Diffusion web UI

Time series forecasting with PyTorch

A python library for user-friendly forecasting and anomaly detection on time series.

🏡 Open source home automation that puts local control and privacy first.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

An gnome-shell extension that makes window movement a lot easier.

Hydra is a framework for elegantly configuring complex applications

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

The fastai book, published as Jupyter Notebooks

Tools for diffing and merging of Jupyter notebooks.

Install and Run Python Applications in Isolated Environments

Tensors and Dynamic neural networks in Python with strong GPU acceleration

An Open Source Machine Learning Framework for Everyone

The fastai deep learning library

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

The 3rd edition of course.fast.ai

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

Python implementations of the Boruta all-relevant feature selection method.

python automatic data quality check toolkit

A game theoretic approach to explain the output of any machine learning model.