Alternatives and similar repositories for function-space-learning-rates-paper

Users that are interested in function-space-learning-rates-paper are comparing it to the libraries listed below

• lucaslingle / mu_transformer
  Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.
  ☆30Updated last week
• nikhilvyas / SOAP_MUON
  Combining SOAP and MUON
  ☆16Updated 3 months ago
• dayal-kalra / low-memory-adam
  ☆12Updated 3 months ago
• EleutherAI / training-jacobian
  ☆21Updated 5 months ago
• ethansmith2000 / TransformerExperiments
  ☆19Updated 2 weeks ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• evanatyourservice / llm-jax
  Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.
  ☆17Updated 2 months ago
• zaydzuhri / flame
  Fork of Flame repo for training of some new stuff in development
  ☆13Updated last week
• kyleliang919 / Online-Subspace-Descent
  This repo is based on https://github.com/jiaweizzhao/GaLore
  ☆28Updated 8 months ago
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆25Updated 4 months ago
• bentherien / mu_learned_optimization
  [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers
  ☆12Updated 2 months ago
• radarFudan / mamba-minimal-jax
  ☆28Updated 6 months ago
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆34Updated 7 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆19Updated 4 months ago
• Laz4rz / mup
  Minimal (truly) muP implementation, consistent with TP4 and TP5 papers notation
  ☆14Updated last week
• google-deepmind / spectral_ssm
  ☆32Updated last year
• RE-N-Y / sae
  ☆15Updated 6 months ago
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆37Updated last year
• graphcore-research / jax-scalify
  JAX Scalify: end-to-end scaled arithmetics
  ☆16Updated 7 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• test-time-training / ttt-tk
  ☆31Updated last month
• formll / resolving-scaling-law-discrepancies
  ☆19Updated 10 months ago
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆30Updated 6 months ago
• berlino / seq_icl
  ☆52Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆43Updated 8 months ago
• cloneofsimo / zeroshampoo
  ☆33Updated 8 months ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆58Updated last year
• AndPotap / einsum-search
  ☆32Updated 8 months ago
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆29Updated 4 years ago