Alternatives and similar repositories for papa

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

• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆62Updated 3 years ago
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆23Updated 5 months ago
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆24Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆54Updated 2 years ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated last year
• bigscience-workshop / architecture-objective
  ☆97Updated 2 years ago
• JetRunner / PABEE
  Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
  ☆65Updated 4 years ago
• allenai / staged-training
  Staged Training for Transformer Language Models
  ☆32Updated 3 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆74Updated 4 years ago
• microsoft / EfficientLongSequenceModeling
  ☆51Updated 2 years ago
• cambridgeltl / composable-sft
  A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.
  ☆74Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆58Updated 2 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆39Updated 2 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆65Updated 3 years ago
• guy-dar / embedding-space
  ☆53Updated 2 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• intersun / CoDIR
  Code for EMNLP 2020 paper CoDIR
  ☆41Updated 2 years ago
• xtinkt / editable
  A supplementary code for Editable Neural Networks, an ICLR 2020 submission.
  ☆46Updated 5 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆56Updated 2 years ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• VITA-Group / EarlyBERT
  [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …
  ☆18Updated 3 years ago
• Ankush7890 / ssfinetuning
  A package for fine tuning of pretrained NLP transformers using Semi Supervised Learning
  ☆14Updated 3 years ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 4 years ago
• lucidrains / coco-lm-pytorch
  Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch
  ☆46Updated 4 years ago
• renll / SparseLT
  [EMNLP 2022] Language Model Pre-Training with Sparse Latent Typing
  ☆14Updated 2 years ago
• acmi-lab / pretraining-with-nonsense
  Pretraining summarization models using a corpus of nonsense
  ☆13Updated 3 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated 2 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated last year