Open-source, cloud-native transactional tensor storage engine

TokSearch framework for parallel processing of fusion data

Foundation Models for Time Series

SC23 Deep Learning at Scale Tutorial Material

A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python

High-fidelity performance metrics for generative models in PyTorch

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

A Collection of Variational Autoencoders (VAE) in PyTorch.

Reading list for research topics in multimodal machine learning

Bayesian Data Analysis demos for Python

AutoML library for deep learning

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Code for visualizing the loss landscape of neural nets

A conda environment and docker container to support using earth and environmental data in Python.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

JupyterLab computational environment.

C library for finding and handling crystal symmetries

⚡ Fast scatter density plots for Matplotlib ⚡

A set of small tools that allow you to state your intentions mre explicitly in the code

A cheatsheet of modern C++ language and library features.

A clone of Chips Challenge in Haskell

stb single-file public domain libraries for C/C++

Models and examples built with TensorFlow

Main repository for Mantid code

Twitter API package for Haskell, including enumerator interfaces and Streaming API supports.

Learn Haskell

Reinforcement Learning environments based on the 1993 game Doom

New York Philharmonic Performance History Metadata