saavnkr's Stars
gpakosz/.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
AssemblyAI-Examples/ML-Study-Guide
Minimal Machine Learning Study Plan
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
chi-feng/mcmc-demo
Interactive Markov-chain Monte Carlo Javascript demos
bitzhangcy/Neural-PDE-Solver
aleximmer/Laplace
Laplace approximations for Deep Learning.
thu-vu92/python-dashboard-panel
Interactive visualization dashboard in Python with Panel
PredictiveScienceLab/uq-course
Introduction to Uncertainty Quantification
philipphennig/NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
rishabhk108/AdvancedOptML
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
TyXe-BDL/TyXe
philipphennig/Probabilistic_ML
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
jejjohnson/gp_model_zoo
Literature and light wrappers for gaussian process models.
NicolasDurrande/Gaussian-Process-Regression-handout
csccm-iitd/WNO
sydney-machine-learning/Bayesianneuralnetworks-MCMC-tutorial
Bayesian neural networks via MCMC: tutorial
alexglyndavies/4M24
lucasrm25/Probabilistic-Machine-Learning
Repository for the course Probabilistic Machine Learning at Tübingen University
PGM-Lab/2023-ProbAI
Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
ebilionis/py-best
Bayesian Exploration Statistical Toolbox
arneschmidt/attention_gp
SoftwareImpacts/SIMPAC-2022-198
Variational Neural Networks Pytoch and JAX implementations