A collection of resources and papers on Diffusion Models

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

Lectures for INFO8010 Deep Learning, ULiège

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clustering…

Pytorch implementation of β-VAE

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

this repository accompanies the book "Grokking Deep Learning"

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Example code for the Siggraph Asia Tutorial CreativeAI

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Inte…

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Data science interview questions with answers. Not ideally (yet)

This repository is to prepare for Machine Learning interviews.

A repo for data science related questions and answers

Machine Learning and Computer Vision Engineer - Technical Interview Questions

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning

Python wrapper for the IBM RXN for Chemistry API

RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactio…

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Universal audio synthesizer control learning with normalizing flows

A curated list of techniques to avoid posterior collapse

This repository contains implementations and illustrative code to accompany DeepMind publications