Alternatives and similar repositories for neuroplasticity

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

• guy-dar / embedding-space
  ☆55Updated 2 years ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• KoyenaPal / future-lens
  Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State
  ☆20Updated last month
• jmerullo / lm_vector_arithmetic
  ☆36Updated 2 years ago
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆25Updated 2 years ago
• EleutherAI / semantic-memorization
  ☆44Updated last year
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆71Updated last year
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆48Updated 2 years ago
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆76Updated last year
• XiangLi1999 / AutoBencher
  ☆32Updated last year
• aryamanarora / causalgym
  CausalGym: Benchmarking causal interpretability methods on linguistic tasks
  ☆49Updated 11 months ago
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆71Updated 2 years ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• meg-tong / sycophancy-eval
  datasets from the paper "Towards Understanding Sycophancy in Language Models"
  ☆97Updated 2 years ago
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆47Updated 11 months ago
• UKPLab / on-emergence
  Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning
  ☆33Updated 10 months ago
• kaistAI / factual-knowledge-acquisition
  ☆23Updated last week
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 3 years ago
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆28Updated 11 months ago
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆29Updated 2 months ago
• IBM / model-recycling
  Ranking of fine-tuned HF models as base models.
  ☆36Updated 2 months ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆31Updated 10 months ago
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)
  ☆72Updated last year
• bilal-chughtai / rep-theory-mech-interp
  ☆27Updated 2 years ago
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆48Updated 10 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated 10 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆92Updated last year