Geometric kernels on manifolds, meshes and graphs

A Kaggle Downloader Python Package

Code for the paper: SymDiff: Equivariant Diffusion via Stochastic Symmetrisation

A tutorial of implementing/training/finetuning the SimCLR model with Pytorch Lightning.

Pytorch SimCLR on CIFAR10 (92.85% test accuracy)

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques

Python implementation of Gale and Sampson's (1995/2001) "Simple Good Turing" algorithm.

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Convolutional Gaussian processes based on GPflow.

A community repository for benchmarking Bayesian methods

Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.

Gaussian processes framework in python

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Algorithms for outlier, adversarial and drift detection

Algorithms for explaining machine learning models

Python library for processing (tandem) mass spectrometry data and for computing spectral similarities.

Approximate knockoffs and model-free variable selection.

Preprocessing for MatSciNLP project

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).