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atom-julia-lsp-client

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

dilate

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

fastcore

Python supercharged for the fastai library

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

gringo

High-performance minimalist queue implemented using a stripped-down lock-free ringbuffer, written in Go (golang.org)

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

muzero-general

MuZero

myexample.jl

n-beats

stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

stats

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.