bhoov / energy-transformer-jaxLinks
The Energy Transformer block, in JAX
☆63Updated 2 years ago
Alternatives and similar repositories for energy-transformer-jax
Users that are interested in energy-transformer-jax are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- ☆33Updated last year
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 6 months ago
- ☆62Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆38Updated 3 years ago
- Code for minimum-entropy coupling.☆32Updated last month
- Parallelizing non-linear sequential models over the sequence length☆56Updated 6 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ☆35Updated last year
- Scalable and Stable Parallelization of Nonlinear RNNS☆28Updated 2 months ago
- ☆40Updated last year
- ☆41Updated 3 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Updated 3 years ago
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated 7 months ago
- 🧮 Algebraic Positional Encodings.☆17Updated 4 months ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- ☆35Updated last year
- This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…☆25Updated last year
- ☆27Updated 2 years ago
- ☆17Updated last year
- Bayesian model reduction for probabilistic machine learning☆11Updated 5 months ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆86Updated 2 years ago
- Latent Program Network (from the "Searching Latent Program Spaces" paper)☆106Updated last month
- Generative cellular automaton-like learning environments for RL.☆19Updated 10 months ago
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆56Updated 3 weeks ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆13Updated 2 years ago