Distributed Training Over-The-Internet

prime is a framework for efficient, globally distributed training of AI models over the internet.

This is the code for the TMLR submission: https://openreview.net/forum?id=e7mYYMSyZH

Simulation framework for accelerating research in Private Federated Learning

The Prodigy optimizer and its variants for training neural networks.

Major CS conference publication stats (including accepted and submitted) by year.

Distributed and decentralized training framework for PyTorch over graph

Code used for paper on Asynchronous SGD published at NeurIPS 2022

FL_PyTorch: Optimization Research Simulator for Federated Learning

This repo contains the code for FLIX.

YAAC: Another Awesome CV is a template using Font Awesome and Adobe Source Font.

Low Precision Arithmetic Simulation in PyTorch

List of AI Residency Programs

collection of interesting Computer Science resources

scikit-learn: machine learning in Python

Hardware accelerated, batchable and differentiable optimizers in JAX.

Optax is a gradient processing and optimization library for JAX.

JAX - A curated list of resources https://github.com/google/jax

💖 Things I care about 💖

Geoff Boeing's academic CV in LaTeX

Acceptance rates for the major AI conferences

A beautiful, simple, clean, and responsive Jekyll theme for academics

Benchmarking optimization methods on convex problems.

Stochastic PDHG with Arbitrary Sampling and Imaging Applications

Operator Discretization Library https://odlgroup.github.io/odl/