Alternatives and similar repositories for BiLAF

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

• zzp1012 / LLFC
  [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"
  ☆19Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆54Updated last year
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated last year
• Nebularaid2000 / bottleneck
  PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)
  ☆37Updated last year
• Thinklab-SJTU / L2P-MIP
  ☆11Updated last year
• MajorDavidZhang / MCL
  code for Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
  ☆19Updated last year
• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆42Updated 4 months ago
• HSG-AIML / NeurIPS_2022-Generative_Hyper_Representations
  Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".
  ☆17Updated last year
• arnab-api / romba
  Applies ROME and MEMIT on Mamba-S4 models
  ☆14Updated last year
• LiangrunFlora / Slow-Fast-Sampling
  Official PyTorch implementation of the paper "Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Princ…
  ☆38Updated 6 months ago
• leo-yangli / VB-LoRA
  This repo contains the source code for VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks (NeurIPS 2024).
  ☆42Updated last year
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆15Updated last year
• Wang-ML-Lab / TSDA
  [ICML 2023] Taxonomy-Structured Domain Adaptation
  ☆12Updated 2 years ago
• jameszhou-gl / gpt-4v-distribution-shift
  Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
  ☆38Updated last year
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆68Updated 6 months ago
• thudzj / NEigenmaps
  ☆12Updated last year
• phython96 / ARGNP
  Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR'22, Oral)
  ☆26Updated last year
• LFhase / GMT
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆15Updated last year
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆47Updated last year
• locuslab / llava-token-compression
  ☆46Updated last year
• Jiachen-T-Wang / GREATS
  ☆17Updated 9 months ago
• Sherrylone / Zero-CL
  ICLR 2022 paper
  ☆16Updated 3 years ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆100Updated last year
• CVMI-Lab / clip-beyond-tail
  (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  ☆28Updated last year
• NUS-HPC-AI-Lab / InfoGrowth
  Efficient and Online Dataset Growth Algorithm (with cleanness and diversity awareness) to deal with growing web data
  ☆21Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆92Updated 2 months ago
• taco-group / Re-Align
  [EMNLP'25] A novel alignment framework that leverages image retrieval to mitigate hallucinations in Vision Language Models.
  ☆50Updated 5 months ago
• weigq / iclr2024_stats
  ICLR2024 statistics
  ☆48Updated 2 years ago
• GraphPKU / Case_or_Rule
  exploring whether LLMs perform case-based or rule-based reasoning
  ☆30Updated last year
• tmllab / 2023_ICLR_Moderate-DS
  ☆30Updated 2 years ago