Alternatives and similar repositories for RATransformers:

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

• nreimers / se-pytorch-xla
  ☆21Updated 3 years ago
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated last year
• IBM / model-recycling
  Ranking of fine-tuned HF models as base models.
  ☆35Updated last year
• Heidelberg-NLP / LMs4Implicit-Knowledge-Generation
  Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statement…
  ☆16Updated 3 years ago
• asahi417 / relbert
  The official implementation of "Distilling Relation Embeddings from Pre-trained Language Models, EMNLP 2021 main conference", a high-qual…
  ☆46Updated last month
• thakur-nandan / sprint
  SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.
  ☆43Updated last year
• thakur-nandan / income
  INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retrieval. Includes BPR and JPQ.
  ☆22Updated last year
• sophiaalthammer / parm
  This repository contains the code for the paper 'PARM: Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval' pu…
  ☆40Updated 3 years ago
• oughtinc / raft-baselines
  ☆13Updated last year
• nreimers / flax-sentence-embeddings
  Shared code for training sentence embeddings with Flax / JAX
  ☆27Updated 3 years ago
• MilaNLProc / language-invariant-properties
  ☆22Updated 2 years ago
• anthonywchen / MOCHA
  Code & data for EMNLP 2020 paper "MOCHA: A Dataset for Training and Evaluating Reading Comprehension Metrics".
  ☆16Updated 2 years ago
• jwieting / paraphrastic-representations-at-scale
  ☆74Updated 3 years ago
• swarnaHub / SummarizationPrograms
  [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
  ☆23Updated last year
• guilhermemr04 / scaling-zero-shot-retrieval
  No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
  ☆28Updated 2 years ago
• sunlab-osu / ReasonBERT
  Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021
  ☆29Updated last year
• gsarti / t5-flax-gcp
  Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
  ☆58Updated 2 years ago
• LauraRuis / do-pigs-fly
  ☆17Updated last year
• lesterpjy / numeric-t5
  Training T5 to perform numerical reasoning.
  ☆23Updated 3 years ago
• g8a9 / ear
  Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"
  ☆47Updated 2 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…
  ☆45Updated last year
• oriram / spider
  ☆55Updated 2 years ago
• UKPLab / eacl2024-lagonn
  Source code and data for Like a Good Nearest Neighbor
  ☆28Updated 2 weeks ago
• inspired-cognition / critique-apps
  Apps built using Inspired Cognition's Critique.
  ☆58Updated last year
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆26Updated last year
• martiansideofthemoon / relic-retrieval
  Official codebase accompanying our ACL 2022 paper "RELiC: Retrieving Evidence for Literary Claims" (https://relic.cs.umass.edu).
  ☆20Updated 2 years ago
• EleutherAI / semantic-memorization
  ☆45Updated 2 months ago
• adapter-hub / hgiyt
  Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"
  ☆26Updated 3 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 2 years ago
• JunShern / few-shot-adaptation
  Exploring Few-Shot Adaptation of Language Models with Tables
  ☆23Updated 2 years ago