Alternatives and similar repositories for taglets

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

• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• BatsResearch / nplm
  A weak supervision framework for (partial) labeling functions
  ☆16Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated 2 weeks ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• mlfoundations / dataset2metadata
  ☆27Updated last year
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 3 years ago
• visinf / fast-axiomatic-attribution
  Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
  ☆16Updated 2 years ago
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆29Updated last month
• MadryLab / EditingClassifiers
  ☆96Updated 3 years ago
• MadryLab / datamodels
  ☆30Updated 2 years ago
• BatsResearch / efsl
  Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
  ☆11Updated 4 years ago
• srush / LLM-Talk
  ☆52Updated last year
• data-centric-ai / dcbench
  A benchmark of data-centric tasks from across the machine learning lifecycle.
  ☆72Updated 3 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆17Updated 3 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• hadasah / btm
  ☆76Updated last year
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆23Updated 7 months ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆39Updated last year
• guy-dar / embedding-space
  ☆55Updated 2 years ago
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• snu-mllab / Neural-Relation-Graph
  Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
  ☆15Updated last year
• kilian-group / phantom-wiki
  Python package for generating datasets to evaluate reasoning and retrieval of large language models
  ☆19Updated 2 months ago