VeLO optimizer in PyTorch

LaTeXML: a TeX and LaTeX to XML/HTML/ePub/MathML translator.

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Karras et al. (2022) diffusion models for PyTorch

Mathematical operations for JAX pytrees

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

Google Research

Fast and Easy Infinite Neural Networks in Python

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Guided Evolutionary Strategies

A Python implementation of the gradient REBAR estimator.

Deep neural network kernel for Gaussian process

Dataset of hyperparameters and final losses (train, validation, eval) accompanying the ICLR 2017 paper, "Capacity and Trainability in Recurrent Neural Networks".

Chainer implementation of Unrolled GAN

Unrolled Generative Adversarial Networks

An Open Source Machine Learning Framework for Everyone

source code for the paper Deep Knowledge Tracing

Python implementation of Markov Jump Hamiltonian Monte Carlo

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Code for regenerating and manipulating label stickers for Dr. Brainlove art car and science outreach project.

Look Ahead Hamiltonian Monte Carlo

Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.

Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.

Code related to collecting and pushing weekly snippets

Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimation for models with continuous state spaces

Matlab code implementing Minimum Probability Flow Learning.