Alternatives and similar repositories for nplm:

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

• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆27Updated last year
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated last year
• IBM / model-recycling
  Ranking of fine-tuned HF models as base models.
  ☆35Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆41Updated 3 weeks ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• allenai / smashed
  SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…
  ☆32Updated 10 months ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆22Updated 2 months ago
• duykhuongnguyen / LASeR-MAB
  Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"
  ☆13Updated 6 months ago
• shauli-ravfogel / rlace-icml
  ☆35Updated 2 years ago
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆46Updated last year
• ielab / Starbucks
  Starbucks: Improved Training for 2D Matryoshka Embeddings
  ☆19Updated last month
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago
• arnab-api / romba
  Applies ROME and MEMIT on Mamba-S4 models
  ☆14Updated 11 months ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 7 months ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆21Updated last week
• allenai / few_shot_explanations
  Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
  ☆31Updated last year
• ekinakyurek / google-research
  Google Research
  ☆46Updated 2 years ago
• allenai / SciRIFF
  Dataset and evaluation suite enabling LLM instruction-following for scientific literature understanding.
  ☆37Updated 2 weeks ago
• KRR-Oxford / HierarchyTransformers
  Language Models as Hierarchy Encoders
  ☆24Updated last month
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated last year
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 4 years ago
• allenai / dream
  ☆23Updated 7 months ago
• salesforce / simplification
  ☆21Updated 2 months ago
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆23Updated last year
• MurtyShikhar / LanguagePatching
  Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"
  ☆19Updated 2 years ago
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆16Updated 11 months ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 2 years ago
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆26Updated 2 years ago