Alternatives and similar repositories for openreview-py

Users that are interested in openreview-py are comparing it to the libraries listed below

• 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…
  ☆106Updated 2 years ago
• neubig / research-career-tools
  ☆165Updated last year
• openreview / openreview-expertise
  Expertise modeling for the OpenReview matching system
  ☆43Updated 2 weeks ago
• ICLR / Master-Template
  Template and style files for ICLR
  ☆255Updated 4 months 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
• JieyuZ2 / wrench
  [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
  ☆226Updated last year
• decile-team / submodlib
  Summarize Massive Datasets using Submodular Optimization
  ☆124Updated 7 months ago
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• allenai / discoverybench
  Discovering Data-driven Hypotheses in the Wild
  ☆124Updated 7 months ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆254Updated 2 years ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆73Updated 3 years ago
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆162Updated last year
• EleutherAI / knowledge-neurons
  A library for finding knowledge neurons in pretrained transformer models.
  ☆158Updated 3 years ago
• HannahKirk / prism-alignment
  The Prism Alignment Project
  ☆87Updated last year
• neulab / ReviewAdvisor
  Heavy Workload on Reviewing Papers? ReviewAdvisor Helps out
  ☆202Updated 2 years ago
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆109Updated 2 years ago
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆133Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆224Updated last year
• PAIR-code / interpretability
  PAIR.withgoogle.com and friend's work on interpretability methods
  ☆217Updated last month
• csinva / interpretable-embeddings
  Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
  ☆46Updated last year
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆89Updated 2 years ago
• allenai / peS2o
  Pretraining Efficiently on S2ORC!
  ☆178Updated last year
• asaparov / prontoqa
  Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.
  ☆156Updated 4 months ago
• guy-dar / embedding-space
  ☆56Updated 2 years ago
• PeterTheOne / slideslive-slides-dl
  slideslive slides downloading script
  ☆131Updated 2 months ago
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆78Updated 2 years ago
• nouhadziri / faith-and-fate
  ☆39Updated last year
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆100Updated this week