Python Library for NASA Earthdata APIs

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

Mapping the extent of land use and land cover categories over time is essential for better environmental monitoring, urban planning and nature protection. Train and fine-tune a deep learning model …

Differentiable Reacting Flow Modeling Software

One-dimensional BFB reactor model

A Python package for chemical engineering

Dirichlet MLE python library

A library for scientific machine learning and physics-informed learning

A Python library to access ISO country, subdivision, language, currency and script definitions and their translations.

📖🌿 Interactive jupyter-book Documentation for Brightway

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time s…

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

A curated list of trustworthy deep learning papers. Daily updating...

18.337 - Parallel Computing and Scientific Machine Learning

A bunch of links to blog posts, articles, videos, etc for learning Rust

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Supercomputing @ GT has compiled a list of organizations that offer internships and experiences in HPC and applications of HPC.

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

PyTorch implementation of the AAAI-21 paper "Dual Adversarial Label-aware Graph Neural Networks for Cross-modal Retrieval" and the TPAMI-22 paper "Integrating Multi-Label Contrastive Learning with …

Pytorch Geometric Tutorials

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Layer over brightway2 for algebraic definition of parametric models and super fast computation of LCA

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"