flaviovdf's Stars
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
google/flax
Flax is a neural network library for JAX that is designed for flexibility.
fonsp/Pluto.jl
🎈 Simple reactive notebooks for Julia
lovasoa/whitebophir
Online collaborative Whiteboard that is simple, free, easy to use and to deploy
xinychen/awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
sdv-dev/CTGAN
Conditional GAN for generating synthetic tabular data.
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
glouppe/info8010-deep-learning
Lectures for INFO8010 Deep Learning, ULiège
fatiando/pooch
A friend to fetch your data files
sbi-dev/sbi
Simulation-based inference toolkit
AI-Guru/music-generation-research
A straightforward collection of Music Generation research resources.
google-research/fast-soft-sort
Fast Differentiable Sorting and Ranking
sdv-dev/Copulas
A library to model multivariate data using copulas.
sighingnow/jekyll-gitbook
Build Jekyll site with GitBook style!
lindeloev/tests-as-linear
Common statistical tests are linear models (or: how to teach stats)
fehiepsi/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
freelunchtheorem/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
mrtzh/unbuch
Compile markdown into an html and pdf book based on pandoc.
sergeyf/SmallDataBenchmarks
Small Dataset Benchmarks on the Dataset of Datasets UCI++
ismir/paper_templates
Repository for paper templates in ISMIR Proceedings
sbi-dev/pyknos
Conditional density estimation with neural networks
gnobitab/CertifiedMonotonicNetwork
hse-cs/probaforms
Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
CarlSouthall/MDBDrums
MDB Drums
AishwaryaSivaraman/COMET
Counterexample-Guided Learning of Monotonic Networks
juhannam/gct634-ai613-2021
Code repository for GCT634/AI613 Musical Applications of Machine Learning (Fall 2021)
nju-websoft/DAEM
Deep Entity Matching with Adversarial Active Learning
goodix/goodix_ts_berlin
Berlin touchscreen driver code for Linux
HanielB/teachingSchedule