Alternatives and similar repositories for is_mamba_capable_of_icl:

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

• allenbai01 / transformers-as-statisticians
  ☆28Updated last year
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆35Updated 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…
  ☆16Updated 3 months ago
• IdoAmos / not-from-scratch
  ☆28Updated 4 months ago
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆54Updated last year
• gregorbachmann / Next-Token-Failures
  ☆80Updated 11 months ago
• r-three / mats
  ☆28Updated 7 months ago
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 9 months ago
• deeplearning-wisc / args
  ☆36Updated last year
• tianjunz / TEMPERA
  ☆42Updated last year
• cassidylaidlaw / hidden-context
  Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
  ☆28Updated last year
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆41Updated 4 months ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆27Updated 11 months ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆15Updated last month
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆50Updated last year
• holarissun / RewardModelingBeyondBradleyTerry
  ☆16Updated last week
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆15Updated last year
• YangRui2015 / RiC
  Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"
  ☆57Updated 2 months ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆44Updated last month
• cassidylaidlaw / orpo
  ☆13Updated 3 months ago
• Leiay / looped_transformer
  ☆24Updated last year
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆37Updated 10 months ago
• jihoontack / MAC
  Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
  ☆61Updated 7 months ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• lee-ny / teaching_arithmetic
  ☆78Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated last year
• adamxyang / laplace-lora
  Bayesian low-rank adaptation for large language models
  ☆22Updated 9 months ago
• sc782 / SBM-Transformer
  ☆13Updated 2 years ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆20Updated last year