borjanG / 2023-transformers-rotf

Related projects: ⓘ

• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆74Updated 7 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆84Updated 4 months ago
• google-deepmind / spectral_ssm
  ☆25Updated 5 months ago
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆28Updated 4 months ago
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆28Updated last year
• dvruette / barrel-rec-pytorch
  ☆53Updated 8 months ago
• kyegomez / swarms-pytorch
  Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊
  ☆106Updated last week
• NVlabs / gbrl_sb3
  GBRL-based Actor-Critic algorithms implemented in stable-baselines3
  ☆20Updated this week
• shikaiqiu / compute-better-spent
  ☆42Updated 3 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆61Updated 4 months ago
• facebookresearch / LAWT
  Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
  ☆61Updated last month
• radarFudan / mamba-minimal-jax
  ☆28Updated last week
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆116Updated last month
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆47Updated last week
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆137Updated 2 months ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders in JAX.
  ☆52Updated last month
• EdinburghNLP / torch-adaptive-imle
  ☆32Updated 9 months ago
• Lemon-cmd / energy-transformer-graph
  This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…
  ☆18Updated 7 months ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated last year
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆82Updated 3 weeks ago
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆57Updated last year
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆34Updated last month
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆29Updated last month
• Artur-Galstyan / statedict2pytree
  ☆40Updated 2 months ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆159Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆62Updated last month
• jxbz / modula
  Scalable neural net training via automatic normalization in the modular norm.
  ☆108Updated last month
• okarthikb / state-space-models
  ☆27Updated 2 months ago
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆86Updated 3 months ago
• PolymathicAI / xVal
  Repository for code used in the xVal paper
  ☆110Updated 5 months ago