Alternatives and similar repositories for goldfish-loss

Users that are interested in goldfish-loss are comparing it to the libraries listed below

• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆102Updated 3 weeks ago
• mcleish7 / gemstone-scaling-laws
  ☆27Updated 5 months ago
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆25Updated 7 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆38Updated 8 months ago
• 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
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆46Updated 4 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆43Updated last year
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆60Updated 10 months ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆86Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 6 months ago
• JacobPfau / fillerTokens
  ☆66Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆89Updated 7 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆97Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆75Updated 8 months ago
• MadryLab / DsDm
  ☆50Updated last year
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆68Updated 3 weeks ago
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆33Updated 3 months ago
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆87Updated 5 months ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆27Updated 6 months ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆56Updated last year
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 5 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆57Updated 9 months ago
• architsharma97 / dpo-rlaif
  ☆99Updated last year
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆77Updated 7 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆35Updated 9 months ago
• snu-mllab / Context-Memory
  Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
  ☆61Updated last year
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆78Updated last year
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆38Updated last year
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated last year
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆11Updated 3 months ago