luyug / GradCache
Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
☆387Updated last year
Alternatives and similar repositories for GradCache
Users that are interested in GradCache are comparing it to the libraries listed below
Sorting:
- Research code for pixel-based encoders of language (PIXEL)☆335Updated last year
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆451Updated last year
- An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi☆264Updated 2 years ago
- Search Engines with Autoregressive Language models☆285Updated 2 years ago
- Fusion-in-Decoder☆567Updated last year
- Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"☆293Updated 2 years ago
- Scalable training for dense retrieval models.☆292Updated 2 months ago
- Repository containing code for "How to Train BERT with an Academic Budget" paper☆313Updated last year
- ☆344Updated 3 years ago
- Understanding the Difficulty of Training Transformers☆329Updated 2 years ago
- Train Dense Passage Retriever (DPR) with a single GPU☆131Updated 3 years ago
- Code for the ALiBi method for transformer language models (ICLR 2022)☆526Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆537Updated last year
- ☆128Updated 2 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆226Updated last year
- Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically s…☆136Updated last year
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 2 years ago
- contrastive decoding☆199Updated 2 years ago
- MEND: Fast Model Editing at Scale☆245Updated last year
- ☆319Updated 3 years ago
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆227Updated 8 months ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆195Updated 2 years ago
- [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation☆471Updated last year
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆608Updated 2 years ago
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)☆527Updated 3 years ago
- Code repository for the paper - "Matryoshka Representation Learning"☆493Updated last year
- PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an…☆272Updated 2 years ago
- Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)☆329Updated last year
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆131Updated last year
- Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.☆592Updated this week