Alternatives and similar repositories for Early_Weight_Avg

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

• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated 2 years ago
• sunyt32 / torchscale
  Transformers at any scale
  ☆41Updated last year
• jason9693 / FROZEN
  ☆14Updated 3 years ago
• lucy3 / whos_filtered
  ☆14Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆43Updated last week
• kyegomez / LM-Infinite
  Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"
  ☆39Updated 11 months ago
• xhan77 / in-context-alignment
  In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning
  ☆35Updated 2 years ago
• kyegomez / Reka-Torch
  Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
  ☆28Updated this week
• locuslab / scaling_laws_data_filtering
  ☆65Updated last year
• lucidrains / tableformer-pytorch
  Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch
  ☆39Updated 3 years ago
• google-research-datasets / swim-ir
  SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…
  ☆49Updated last year
• SeunghyunSEO / optimized_hf_llama_class_for_training
  ☆48Updated last year
• orevaahia / magnet-tokenization
  ☆13Updated 10 months ago
• facebookresearch / mexma
  MEXMA: Token-level objectives improve sentence representations
  ☆41Updated 9 months ago
• cimeister / typical-sampling
  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
  ☆81Updated 3 years ago
• mlfoundations / dataset2metadata
  ☆26Updated last year
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated last year
• yale-nlp / refdpo
  ☆15Updated last year
• Lightning-Universe / lightning-ColossalAI
  Large Scale Distributed Model Training strategy with Colossal AI and Lightning AI
  ☆56Updated 2 years ago
• google-research-datasets / QAmeleon
  QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…
  ☆34Updated 2 years ago
• MikeWangWZHL / Zemi
  Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
  ☆16Updated 2 years ago
• facebookresearch / ketod
  KETOD Knowledge-Enriched Task-Oriented Dialogue
  ☆32Updated 2 years ago
• Ankush7890 / ssfinetuning
  A package for fine tuning of pretrained NLP transformers using Semi Supervised Learning
  ☆14Updated 3 years ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆99Updated 2 years ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• jason9693 / ETA4LLMs
  Calculating Expected Time for training LLM.
  ☆38Updated 2 years ago
• facebookresearch / lss_eval
  This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…
  ☆31Updated 2 years ago
• DAMO-NLP-SG / SSTuning
  Code for ACL paper "Zero-Shot Text Classification via Self-Supervised Tuning"
  ☆27Updated 2 years ago
• mukhal / PromptRank
  [ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting
  ☆27Updated 2 years ago