Lists (15)
Bayesian NNs
Projects constructing BNNs out in the wild for different architecturesCMEs and Space Weather Stuff 🌤️
Conformal Prediction
CovEstimation 🔢
Bandits etc.EECS598 - GenAISystems
F1Hack
💣FNO
GeneralMLStuff
"upskilling"GNsForDynamics
Repos relating to graph nets used for physics. See MetaLayer in Pytorch-Geometric (PG), GraphNets from DeepMind and torch-graphnet. PG covers almost everything.Meteotsunamis
Codes related to hazard assessment from meteotsunamisOptimal Transport
OT-based ROMsPhysicsEngines
Try to generate interesting training data for building predictive models 🌊Time Series Transformers
Attention is all we need? : pUSC UQ Summer School
2023 TutorialsUseful Stuff👍🏻
Stars
Information Relaxation Sampling algorithm for MAB
This is the GitHub repository for the GeoDGP model, which provides global predictions of ground magnetic field perturbations.
Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Wasserstein dictionary learning: Optimal transport-based unsupe…
Registration mappings based on linear optimal transport
Collection of common code that's shared among different research projects in FAIR computer vision team.
Pytorch implementation of Neural Processes for functions and images 🎆
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Research project: create a chess engine using Deep Reinforcement Learning
Multifidelity information fusion with networked surrogated models
A two-dimensional triangular mesh generator with pre- and post-processing utilities written in pure MATLAB (no toolboxes required) designed specifically to build models that solve shallow-water equ…
Julia implementation of Kernel Fisher-Rao Flow and code for examples
Quantification of Uncertainties in Neural Networks
Implementation of algorithms from the paper "Efficient Low Rank Gaussian Variational Inferencefor Neural Networks"
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
ScholArxiv is an open-source, aesthetic, minimal and AI powered app that allows users to search, read, bookmark, share, download and view summaries of academic papers from the arXiv repository.
Implementation of the paper "Shapley Explanation Networks"
S.A.S.S.A.F.R.A.S. : a simple automatic scholar sorter appropriate for researchers and scientists
A game theoretic approach to explain the output of any machine learning model.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Official implementation of Cold-Diffusion for different transformations in pytorch.
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set …