kiaashour's Stars
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
fbickfordsmith/epig
Bayesian active learning with EPIG data acquisition
susantabiswas/Word-Prediction-Ngram
Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques
maxbane/simplegoodturing
Python implementation of Gale and Sampson's (1995/2001) "Simple Good Turing" algorithm.
echen/dirichlet-process
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
kaidic/LDAM-DRW
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
markvdw/convgp
Convolutional Gaussian processes based on GPflow.
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
hughsalimbeni/bayesian_benchmarks
A community repository for benchmarking Bayesian methods
markvdw/probinf-spring-2023
Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.
SheffieldML/GPy
Gaussian processes framework in python
SeldonIO/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
SeldonIO/alibi-detect
Algorithms for outlier, adversarial and drift detection
SeldonIO/alibi
Algorithms for explaining machine learning models
matchms/matchms
Python library for processing (tandem) mass spectrometry data and for computing spectral similarities.
msesia/deepknockoffs
Approximate knockoffs and model-free variable selection.
epochxero/matsci-nlp-cleaner
Preprocessing for MatSciNLP project
epochxero/Generating-Knowledge-Bases-From-Scientific-Publications
materialsintelligence/mat2vec
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).