SKAI is a machine learning based tool for performing automatic building damage assessments on aerial imagery of disaster sites.

Fast and memory-efficient exact attention

A platform for managing machine learning experiments

A simple, performant and scalable Jax LLM!

Source code for Twitter's Recommendation Algorithm

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

This repository contains implementations and illustrative code to accompany DeepMind publications

Self-contained, minimalistic implementation of diffusion models with Pytorch.

A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

A collection of resources to learn about MLOPs.

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

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

Trax — Deep Learning with Clear Code and Speed

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

📺 A place to discover the latest machine learning courses on YouTube.

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

An Introduction to Deep Generative Modeling: Examples