plcrodrigues's Stars
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
alex/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
mmistakes/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
cupy/cupy
NumPy & SciPy for GPU
Kayzaks/HackingNeuralNetworks
A small course on exploiting and defending neural networks
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
PetarV-/TikZ
Complete collection of my PGF/TikZ figures.
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
bayesiains/nflows
Normalizing flows in PyTorch
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
maxhumber/gif
The matplotlib Animation Extension
sbi-dev/sbi
Simulation-based inference toolkit
SciML/diffeqpy
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
EmilienDupont/augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
YuliaRubanova/latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
mitmath/18S096SciML
18.S096 - Applications of Scientific Machine Learning
mariogeiger/hessian
hessian in pytorch
viscom-ulm/Net2Vis
Automatic neural network visualizations generated in your browser!
ermongroup/sliced_score_matching
Code for reproducing results in the sliced score matching paper (UAI 2019)
pactools/pactools
Phase-amplitude coupling (PAC) toolbox
rbardenet/bml-course
Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
OpenSourceBrain/WilsonCowan
Wilson–Cowan model
Tom-Ryder/VIforSSMs
A mini-batch variational inference method for inference in state-space models.
cunningham-lab/epi
Emergent property inference.
massimilianotamborrino/sdbmpABC
Sample code for the paper by Buckwar, Tamborrino & Tubikanec (2020) "Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes An illustration on Hamiltonian SDEs", Stat. Comput., 30, 627-648, 2020.
hubertjb/braindecode
Deep learning software to decode EEG or MEG signals
plcrodrigues/hnn-core
Simulation and optimization of neural circuits for MEG/EEG source estimates