plcrodrigues's Stars
3b1b/manim
Animation engine for explanatory math videos
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
matze/mtheme
A modern LaTeX Beamer theme
asadoughi/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
n2cholas/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
INRIA/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
NeuroTechX/moabb
Mother of All BCI Benchmarks
malhotra5/Manim-Tutorial
A tutorial for manim, a mathematical animation engine made by 3b1b
juho-lee/set_transformer
Pytorch implementation of set transformer
stan-dev/posteriordb
Database with posteriors of interest for Bayesian inference
undark-lab/swyft
A system for scientific simulation-based inference at scale.
sbi-benchmark/sbibm
Simulation-based inference benchmark
brainets/frites
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
jonescompneurolab/hnn
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
daviddao/green-ai
🌱 The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development
facebookresearch/rcpm
Riemannian Convex Potential Maps
psteinb/hpc-in-a-day
a full day lesson material to teach the basics of using a HPC cluster to novices
fissoreg/relative-gradient-jacobian
Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020
Xemnas0/NCSN-TF2.0
Reproduction of "Generative Modeling by Estimating Gradients of the Data Distribution" (NeurIPS, 2019) in Tensorflow 2.0
brian-team/brian2modelfitting
Model fitting toolbox for the Brian 2 simulator
AndrewAnnex/HapkeModel
Hapke Model 2008 implemented to Python 2.7.2 .
deanbodenham/momentchi2py
A Python implementation of three methods for computing the cumulative distribution function of a weighted sum of chi-squared random variables.
stevenkleinegesse/GradBED
mackelab/IdentifyMechanisticModels_2020
Code for "Training deep neural density estimators to identify mechanistic models of neural dynamics"
mackelab/pyloric
Simulator of the pyloric network in cython.
WenjieZ/easyMH
A lightweight Markov Chain Monte Carlo package with focus on Metropolis-Hastings.
benoit-kugler/python-GLLiM
Gaussian Locally-Linear Mixture
LouisRouillard/NF_test_bench
ntolley/sbi_hnn_github