Kevin Course's repositories
weakformghnn
Accompanying code for "Weak form generalized Hamiltonian learning"
arlatentsde
Accompanying code for the paper "Amortized reparametrization: efficient and scalable variational inference for latent SDEs
variationalsparsebayes
A Pytorch library for stochastic variational inference with sparsity inducing priors.
gradoptorch
Classical gradient based optimization with line-search in PyTorch
repopacker
A low-tech solution to large files in git
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
đź‘“ A web interface of gpustat: monitor GPU clusters at a look
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)
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
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