Alternatives and similar repositories for languini-kitchen:

Users that are interested in languini-kitchen are comparing it to the libraries listed below

• shikaiqiu / compute-better-spent
  ☆52Updated 5 months ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆33Updated last year
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆47Updated last year
• berlino / seq_icl
  ☆51Updated 9 months ago
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆61Updated 5 months ago
• lxxue / prefix_sum
  A PyTorch wrapper of parallel exclusive scan in CUDA
  ☆10Updated last year
• AndPotap / einsum-search
  ☆30Updated 5 months ago
• lucidrains / gated-state-spaces-pytorch
  Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
  ☆99Updated 2 years ago
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated 9 months ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆122Updated last year
• johnryan465 / pscan
  ☆38Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆90Updated this week
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆26Updated 10 months ago
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆36Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆79Updated last year
• codekansas / rwkv
  RWKV model implementation
  ☆37Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆107Updated 2 months ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆51Updated last month
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆16Updated last year
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆35Updated 2 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆76Updated last year
• sustcsonglin / mamba-triton
  ☆47Updated last year
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated last week
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆87Updated 8 months ago
• tobiaskatsch / GatedLinearRNN
  ☆27Updated last year
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• f-dangel / singd
  [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)
  ☆21Updated 4 months ago