Alternatives and similar repositories for aops

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

• microsoft / EfficientLongSequenceModeling
  ☆51Updated 2 years ago
• gregorbachmann / Next-Token-Failures
  ☆104Updated last year
• Shark-NLP / CAB
  ☆31Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago
• nouhadziri / faith-and-fate
  ☆37Updated last year
• SimengSun / ChapterBreak
  ☆11Updated last year
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆84Updated 9 months ago
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆47Updated 2 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆34Updated 5 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆103Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆59Updated 2 years ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆137Updated last year
• machelreid / diffuser
  DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)
  ☆54Updated 3 months ago
• deep-spin / infinite-former
  ☆67Updated last year
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆99Updated 4 years ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆20Updated 2 years ago
• yikangshen / megablocks
  ☆20Updated last year
• PiotrNawrot / dynamic-pooling
  Efficient Transformers with Dynamic Token Pooling
  ☆64Updated 2 years ago
• allenai / staged-training
  Staged Training for Transformer Language Models
  ☆33Updated 3 years ago
• HazyResearch / prefix-linear-attention
  ☆57Updated last year
• qkaren / COLD_decoding
  ☆113Updated 3 years ago
• suzgunmirac / crowd-sampling
  Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
  ☆18Updated 3 years ago
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• linlu-qiu / lm-inductive-reasoning
  ☆33Updated last year
• XuezheMax / fairseq-apollo
  FairSeq repo with Apollo optimizer
  ☆114Updated last year
• sjelassi / transformers_ssm_copy
  ☆35Updated last year
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆125Updated last year