eijikawasaki's Stars
yanncalec/dpmhm
Diagnostic and Pronostic in Machine Health Monitoring
deel-ai/puncc
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Harry24k/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network [torchbnn]
deeprob-org/deeprob-kit
A Python Library for Deep Probabilistic Modeling
ElouanARGOUARCH/Discretely-Indexed-Flows
karpathy/pytorch-made
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
sbi-dev/sbi
Simulation-based inference toolkit
baal-org/baal
Bayesian active learning library for research and industrial usecases.
streamer-framework/streamer
masa-su/pixyz
A library for developing deep generative models in a more concise, intuitive and extendable way
PierreBlanchart/ModelSelection
Forecasting using Dynamic Model Selection
physicsml/physicsml-archive
PhysicsML Blog
IBMDataScience/visualize-high-dim-data-fast
MatthieuBizien/roam-to-git
Automatic RoamResearch backup to Git
sdpython/ensae_teaching_cs
Teaching materials in python at the @ENSAE
alexandreday/machine_learning_review
Contains python codes/notebooks for a machine learning review
wdphy16/stat-mech-van
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
sphinxteam/mlcourse_2019
INTRODUCTION TO MACHINE LEARNING: An introductory practical course by Florent Krzakala and Antoine Baker
sphinxteam/mlphys
Travaux Pratiques -- Machine Learning for Physicists
henripal/sgld
echen/restricted-boltzmann-machines
Restricted Boltzmann Machines in Python.
ppaquay/Learning-from-Data-Solutions
Repository of my solutions to the problems of "Learning from Data"
drckf/mlreview_notebooks
Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
DCM-UPB/sannifa
Simple Artificial Neural Network Interface for Function Approximation
openturns/openturns
Uncertainty treatment library