vkhamesi
PhD Student in Statistics and Machine Learning @ImperialCollegeLondon | prev @amazon-science
@ImperialCollegeLondonLondon
vkhamesi's Stars
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
yandex-research/tab-ddpm
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
experimental-design/bofire
Experimental design and (multi-objective) bayesian optimization.
mkomod/vi-per
Accompanying respository to the paper Logistic Variational Bayes Revisited https://arxiv.org/abs/2406.00713
vkhamesi/ocpdet
📦 A Python package for online changepoint detection, implementing state-of-the-art algorithms and a novel approach based on neural networks.
lzz19980125/awesome-time-series-segmentation-papers
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
vkhamesi/proteins
🧬 Fine-Tuning Large Language and Protein Models on a single T4 GPU via Distillation, Quantization and Low-Rank Adaptation to run inference on proteins functions.
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
mkomod/survival.svb
Variational Bayes for High-Dimensional Survival Analysis https://arxiv.org/abs/2112.10270
mkomod/gsvb
Group sparse variaitonal Bayes
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
xiyuanzh/time-series-papers
An up-to-date list of time-series related papers in AI venues.
remykarem/mixed-naive-bayes
Naive Bayes with support for categorical and continuous data