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High-Resolution Image Synthesis with Latent Diffusion Models
A collection of infrastructure and tools for research in neural network interpretability.
Structured state space sequence models
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Example deep learning projects that use wandb's features.
An ongoing list of pandas quirks
Differentiable signal processing on the sphere for PyTorch
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Combining satellite imagery and machine learning to predict poverty
OSS library that implements deep learning methods for partial differential equations and much more
Source code for ClimateLearn
Python package for process-oriented climate modeling
This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.
A Collection of GitHub Actions That Facilitate MLOps
Analysis ready CMIP6 data in python the easy way with pangeo tools.
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
Computer Vision and Pattern Recognition, NUS CS4243, 2022
A spherical convolutional neural network for cosmology (TFv1).
Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
Deep Learning for Post-Processing Ensemble Weather Forecasts
material for the CSU-led machine learning tutorial for earth science research
A High-Performance Data Science Toolkit for the Earth Sciences
Find and load data from the Brightband AI-ready mirror of the NOAA NASA Joint Archive (NNJA) of Observations for Earth System Reanalysis
Lie Algebra Convolutional Network implementation