Alternatives and similar repositories for quanta

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

• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆136Updated 6 months ago
• AndPotap / einsum-search
  ☆32Updated 9 months ago
• zqOuO / GWT
  ☆13Updated 6 months ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆58Updated 2 years ago
• recursal / RADLADS-paper
  RADLADS training code
  ☆25Updated 2 months ago
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆63Updated last year
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆59Updated 4 months ago
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆92Updated 8 months ago
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆68Updated 5 months ago
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆110Updated 7 months ago
• shikaiqiu / compute-better-spent
  ☆53Updated 9 months ago
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆25Updated last year
• pvti / Awesome-Tensor-Decomposition
  😎 A curated list of tensor decomposition resources for model compression.
  ☆73Updated this week
• Lemon-cmd / energy-transformer-graph
  This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…
  ☆24Updated last year
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆32Updated 8 months ago
• jemisjoky / umps_code
  u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…
  ☆19Updated 5 years ago
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆62Updated 9 months ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆52Updated 3 weeks ago
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆17Updated 8 months ago
• xiaotai-yang / NQS_cmi
  Experiements on how conditional mutual information affects the performance of neural quantum states.
  ☆13Updated 8 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆32Updated 8 months ago
• dlwh / jax_sourceror
  Turn jitted jax functions back into python source code
  ☆22Updated 7 months ago
• pilancilab / matrix-compressor
  Implementation of LPLR algorithm for matrix compression
  ☆29Updated last year
• chengxiang / LinearTransformer
  Pytorch code for experiments on Linear Transformers
  ☆21Updated last year
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆83Updated 3 weeks ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆60Updated last year
• yifanycc / AdaZeta
  [EMNLP 24] Source code for paper 'AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tu…
  ☆11Updated 7 months ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆87Updated last week
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆98Updated 3 years ago