Alternatives and similar repositories for data_feedback:

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

• formll / resolving-scaling-law-discrepancies
  ☆18Updated 9 months ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• 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 last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆29Updated 2 years ago
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆28Updated last year
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• jiahai-feng / binding-iclr
  ☆13Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 10 months ago
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 2 years ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆29Updated 2 months ago
• cassidylaidlaw / orpo
  ☆14Updated 5 months ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated last year
• NingMiao / InstaAug
  ☆13Updated 2 years ago
• r-three / mats
  ☆29Updated 9 months ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated last year
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆16Updated 10 months ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated last year
• facebookresearch / ViP-MAE
  This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision
  ☆36Updated last year
• erosenfeld / disagree_discrep
  Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.
  ☆10Updated last year
• ethz-spylab / superhuman-ai-consistency
  ☆29Updated last year
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆38Updated last year
• duykhuongnguyen / LASeR-MAB
  Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"
  ☆13Updated 6 months ago
• facebookresearch / iclmlp
  Experiments for "A Closer Look at In-Context Learning under Distribution Shifts"
  ☆20Updated last year
• katiekang1998 / reasoning_generalization
  ☆31Updated 3 months ago
• scalable-model-editing / unified-model-editing
  We introduce EMMET and unify model editing with popular algorithms ROME and MEMIT.
  ☆16Updated 3 months ago
• lapisrocks / DiscreteAdversarialDistillation
  [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"
  ☆12Updated 9 months ago
• mlfoundations / dataset2metadata
  ☆24Updated last year
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆17Updated last year