A Library for Gaussian Processes in Chemistry

GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

GitHub repository for the Hyper-Kvasir dataset.

Graph Convolutional Network for Swahili News Classification: https://arxiv.org/abs/2103.09325

A PyTorch library for two-sample tests

An efficient video loader for deep learning with smart shuffling that's super easy to digest

Sparse Spectrum Gaussian Process Regression

Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks https://arxiv.org/abs/1910.11933 or https://ieeexplore.ieee.org/document/9053264

Data processing pipeline and exploration tools for HTK lattices and confusion networks

Some of my more useful LaTeX TikZ digrams

Conjugate gradients minimization

My Own Solution Manual of PRML

Local Nearest Neighbot Information Estimator

Jupyter notebooks on inference, regression and classification for MPhil students

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

Experiments for understanding disentanglement in VAE latent representations