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arlatentsde

Accompanying code for the paper "Amortized reparametrization: efficient and scalable variational inference for latent SDEs

avlpy

A high level python wrapper for Drela and Youngren's AVL. The intent is to be able easily script multiple avl sessions for iterative aircraft design.

benchmark-models

A collection of ODE models with experimental data as benchmark problems in order to evaluate new and existing methodologies for data-based modelling

fairgame

Tool to help us buy hard to find items.

gpustat-web

👓 A web interface of gpustat: monitor GPU clusters at a look

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gradoptorch

Classical gradient based optimization with line-search in PyTorch

guided-diffusion

image-extraction

Extract images from PDFs

intensio-obfuscator

Obfuscate a python code 2.x and 3.x

lnets

Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

mini-conf

Run a conference from your backyard.

nnlib.jl

Neural Network primitives with multiple backends

olcpixelgameengine

The official distribution of olcPixelGameEngine, a tool used in javidx9's YouTube videos and projects

pathos

parallel graph management and execution in heterogeneous computing

pyldavis

Python library for interactive topic model visualization. Port of the R LDAvis package.

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

repopacker

A low-tech solution to large files in git

rom-opinf-combustion-2d

Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.

sklearn-rvm

An sklearn style implementation of the Relevance Vector Machine (RVM).

smop

Small Matlab to Python compiler

svise

Accompanying code for "State Estimation of a Physical System without Governing Equations"

themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tvregdiff

Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data

variationalsparsebayes

A Pytorch library for stochastic variational inference with sparsity inducing priors.

weakformghnn

Accompanying code for "Weak form generalized Hamiltonian learning"