Sohl-Dickstein/Diffusion-Probabilistic-Models
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Repositories
Sohl-Dickstein/Sum-of-Functions-Optimizer
Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.
Sohl-Dickstein/fractal
The boundary of neural network trainability is fractal
Sohl-Dickstein/Minimum-Probability-Flow-Learning
Matlab code implementing Minimum Probability Flow Learning.
Sohl-Dickstein/DrBrainlove
Code for regenerating and manipulating label stickers for Dr. Brainlove art car and science outreach project.
Sohl-Dickstein/Hamiltonian-Annealed-Importance-Sampling
Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimation for models with continuous state spaces
Sohl-Dickstein/LAHMC
Look Ahead Hamiltonian Monte Carlo
Sohl-Dickstein/guided-evolutionary-strategies
Guided Evolutionary Strategies
Sohl-Dickstein/NL-Augmenter
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
Sohl-Dickstein/learned_optimization
Sohl-Dickstein/Adv360-Pro-ZMK
Production repository for the all-new Advantage360 Professional using ZMK engine
Sohl-Dickstein/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more