Reading Group on Generative Modelling at the University of Bristol

UNDER DEVELOPMENT This project, Refactoring CAD POC, is designed to showcase a proof of concept (POC) for refactoring CAD models using CadQuery. It includes a library for CAD model refactoring, exa…

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🤖 The List of AI Startups & Companies

I categorize, annotate and write comments for all research papers I read (500+ papers since 2018).

An introduction to functional programming for scalable statistical computing

Algorithms, Ideas and Notes of Sampling from a Manifold

Code to reproduce the experiments of my Approximate Manifold Sampling paper.

Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2024) for network estimation and forecasting of high-dimensional time series

Hybrid Monte Carlo sampler on submanifolds

Code for "A-NICE-MC: Adversarial Training for MCMC"

Pytorch implementation of Localised Generative Flows

Enhance your application with the ability to see and interact with humans using any RGB camera.

Understanding normalizing flows

Variational Autoencoders with Normalizing Flows

Code for Neural Spline Flows paper

Normalizing flows in PyTorch

Normalizing flows in PyTorch

easiest way to set up virtual environments and scientific python

Posterior Server

an R code is written for implementation of SVM algorithm

📦 🗺️ An R package to easily style ggmap basemaps with over 17,000 designs from Snazzy Maps

Analysis on Breast Cancer data set using Support Vector Machines, Bayesian Logistic Regression and Naive Bayes coded from scratch.

An opinionated view of the Tidyverse "dialect" of the R language.

The Julia Programming Language

A game for the visually impaired, 2nd place MLH Hack the South 2019