Alternatives and similar repositories for sea-reproduce

Users that are interested in sea-reproduce are comparing it to the libraries listed below

• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated 2 years ago
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆130Updated 10 months ago
• UW-Madison-Lee-Lab / Expressive_Power_of_LoRA
  Code for "The Expressive Power of Low-Rank Adaptation".
  ☆20Updated last year
• gregorbachmann / Next-Token-Failures
  ☆99Updated last year
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆111Updated last year
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆58Updated last year
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆16Updated 3 months ago
• thaihungle / SHM
  Source code for Stable Hadamard Memory
  ☆20Updated 4 months ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 3 years ago
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• allenbai01 / transformers-as-statisticians
  ☆33Updated 2 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…
  ☆108Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆36Updated last year
• lingchen0331 / UQ_ICL
  Uncertainty quantification for in-context learning of large language models
  ☆16Updated last year
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆18Updated 9 months ago
• jiahai-feng / binding-iclr
  ☆15Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆54Updated 2 years ago
• google-deepmind / distribution_shift_framework
  This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…
  ☆83Updated 2 months ago
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆37Updated last year
• tianjunz / TEMPERA
  ☆46Updated 2 years ago
• EvanZhuang / vector-icl
  Official implementation of Vector-ICL: In-context Learning with Continuous Vector Representations (ICLR 2025)
  ☆20Updated 3 months ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆82Updated 10 months ago
• Jiachen-T-Wang / GREATS
  ☆17Updated 5 months ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated last year
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year