Alternatives and similar repositories for aops

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

• gregorbachmann / Next-Token-Failures
  ☆108Updated last year
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• SimengSun / ChapterBreak
  ☆11Updated last year
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 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
• google-deepmind / emergent_in_context_learning
  ☆86Updated last year
• microsoft / EfficientLongSequenceModeling
  ☆52Updated 3 years ago
• protagolabs / odyssey-math
  ☆85Updated last year
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆86Updated 11 months ago
• linlu-qiu / lm-inductive-reasoning
  ☆34Updated 2 years ago
• Shark-NLP / CAB
  ☆31Updated 2 years ago
• HKUNLP / subgoal-theorem-prover
  Code for the paper "Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving"
  ☆19Updated 2 years ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆103Updated 2 years ago
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• nouhadziri / faith-and-fate
  ☆39Updated last year
• huiwy / reflection-on-trees
  ☆14Updated last year
• qkaren / COLD_decoding
  ☆114Updated 3 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆105Updated 2 years ago
• 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
• machelreid / diffuser
  DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)
  ☆55Updated 6 months ago
• gl-ybnbxb / BoNBoN
  ☆18Updated last year
• swj0419 / in-context-pretraining
  ☆55Updated last year
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆76Updated 3 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆54Updated 4 years ago
• FranxYao / RDP
  Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization
  ☆14Updated 3 years ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆124Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆59Updated 3 years ago
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆29Updated last year
• sail-sg / symbolic-instruction-tuning
  The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".
  ☆66Updated 2 years ago
• violet-zct / swarm-distillation-zero-shot
  ☆23Updated 3 years ago