Alternatives and similar repositories for Pytorch-MiniLM

Users that are interested in Pytorch-MiniLM are comparing it to the libraries listed below

• DRSY / EMO
  [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
  ☆123Updated last year
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆196Updated 2 years ago
• SimiaoZuo / MoEBERT
  This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).
  ☆108Updated 3 years ago
• JetRunner / MetaDistil
  Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".
  ☆86Updated 2 years ago
• clovaai / ssmix
  Official PyTorch Implementation of SSMix (Findings of ACL 2021)
  ☆62Updated 4 years ago
• zhouj8553 / FlipDA
  ☆66Updated last year
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆102Updated 2 years ago
• dinghanshen / Cutoff
  The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach …
  ☆63Updated 4 years ago
• XingLuxi / Cal-FLOPs-for-PLM
  Calculating FLOPs of Pre-trained Models in NLP
  ☆18Updated 4 years ago
• sh0416 / clrcmd
  Official Repository for CLRCMD (Appear in ACL2022)
  ☆42Updated 2 years ago
• RunxinXu / ChildTuning
  Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
  ☆61Updated 3 years ago
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆142Updated 2 years ago
• LitterBrother-Xiao / Overview-of-Non-autoregressive-Applications
  ☆179Updated 11 months ago
• YJiangcm / PromCSE
  [EMNLP 2022] Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
  ☆135Updated last year
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆61Updated 3 years ago
• GeneZC / MiniMoE
  Code for ACL 2023 paper titled "Lifting the Curse of Capacity Gap in Distilling Language Models"
  ☆28Updated 2 years ago
• thu-coai / DA-Transformer
  Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"
  ☆126Updated last year
• thu-coai / TaiLr
  ICLR2023 - Tailoring Language Generation Models under Total Variation Distance
  ☆21Updated 2 years ago
• Jxu-Thu / DITTO
  The code of paper "Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation" published at NeurIPS 202…
  ☆46Updated 2 years ago
• wangpf3 / consistent-CoT-distillation
  ☆42Updated last year
• pkunlp-icler / ChildTuning
  ☆32Updated 3 years ago
• princeton-nlp / DinkyTrain
  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
  ☆114Updated 2 years ago
• caskcsg / TextSmoothing
  ☆35Updated 3 years ago
• yeonsw / RankEncoder
  ☆35Updated 2 years ago
• TobiasLee / Awesome-Efficient-PLM
  Must-read papers on improving efficiency for pre-trained language models.
  ☆104Updated 2 years ago
• microsoft / SEED-Encoder
  ☆45Updated 3 years ago
• txsun1997 / Black-Box-Tuning
  ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…
  ☆269Updated 2 years ago
• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆167Updated 3 years ago
• Zeng-WH / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆56Updated 3 years ago