Alternatives and similar repositories for iclmlp

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

• twinkle0331 / LGTM
  [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…
  ☆38Updated 2 years ago
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 3 years ago
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆37Updated 2 years ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated 2 years ago
• shizhediao / DaVinci
  Source code for the paper "Prefix Language Models are Unified Modal Learners"
  ☆42Updated 2 years ago
• yale-nlp / refdpo
  ☆16Updated last year
• psunlpgroup / VisOnlyQA
  This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o…
  ☆27Updated 3 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆83Updated last year
• locuslab / scaling_laws_data_filtering
  ☆65Updated last year
• ctlllll / reward_collapse
  ☆27Updated 2 years ago
• mlfoundations / dataset2metadata
  ☆26Updated last year
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆61Updated 2 months ago
• gzcch / Bingo
  ☆55Updated last year
• 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…
  ☆55Updated 2 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• arazd / ResidualPrompts
  Residual Prompt Tuning: a method for faster and better prompt tuning.
  ☆56Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated 2 years ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated last year
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated 4 months ago
• gregorbachmann / Next-Token-Failures
  ☆103Updated last year
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 6 months ago
• LAION-AI / Conditional-Pretraining-of-Large-Language-Models
  ☆37Updated 2 years ago
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆20Updated last month
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆22Updated last year
• Pranjal2041 / AdaptiveConsistency
  Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
  ☆39Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last year
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆89Updated last year
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• lingchen0331 / UQ_ICL
  Uncertainty quantification for in-context learning of large language models
  ☆16Updated last year