Alternatives and similar repositories for LAWT

Users that are interested in LAWT are comparing it to the libraries listed below

• expz / annotated-hyena
  An annotated implementation of the Hyena Hierarchy paper
  ☆34Updated 2 years ago
• shikaiqiu / compute-better-spent
  ☆62Updated last year
• lucidrains / pause-transformer
  Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…
  ☆53Updated 2 years ago
• lucidrains / triangle-multiplicative-module
  Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, …
  ☆39Updated 4 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆92Updated 2 years ago
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆51Updated last year
• lucidrains / flash-genomics-model
  My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…
  ☆55Updated 2 years ago
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆75Updated 6 months ago
• lucidrains / kalman-filtering-attention
  Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
  ☆59Updated 2 years ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆46Updated 2 years ago
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆112Updated last year
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆116Updated 2 years ago
• jiaweizzhao / ZerO-initialization
  ☆75Updated 3 years ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆70Updated last year
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆45Updated last year
• lucidrains / taylor-series-linear-attention
  Explorations into the recently proposed Taylor Series Linear Attention
  ☆100Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated 2 years ago
• lucidrains / coordinate-descent-attention
  Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk
  ☆47Updated 2 years ago
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆92Updated last year
• lucidrains / mixture-of-attention
  Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts
  ☆122Updated last year
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 years ago
• google-deepmind / understanding_deep_generative_models_with_generalized_empirical_likelihood
  ☆34Updated 2 years ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆114Updated 2 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆88Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• google-deepmind / digraph_transformer
  ☆121Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆87Updated 2 years ago