adapters

Transfer learning library

A unified library for parameter-efficient and modular transfer learning in NLP tasks

A Unified Library for Parameter-Efficient and Modular Transfer Learning

GitHub

3k stars
29 watching
352 forks
Language: Jupyter Notebook
last commit: almost 2 years ago
Linked from 1 awesome list

adaptersbertloranatural-language-processingnlpparameter-efficient-learningparameter-efficient-tuningpytorchtransformers

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
huggingface/transformersA collection of pre-trained machine learning models for various natural language and computer vision tasks, enabling developers to fine-tune and deploy these models on their own projects.136,357
huggingface/pytorch-openai-transformer-lmImplementing OpenAI's transformer language model in PyTorch with pre-trained weights and fine-tuning capabilities1,511
codertimo/bert-pytorchAn implementation of Google's 2018 BERT model in PyTorch, allowing pre-training and fine-tuning for natural language processing tasks6,251
huggingface/trlA library designed to train transformer language models with reinforcement learning using various optimization techniques and fine-tuning methods.10,308
qubvel-org/segmentation_models.pytorchA comprehensive library for training and applying deep learning models for image segmentation9,829
thuml/transfer-learning-libraryA comprehensive Python library for adapting models to new environments and tasks through various techniques3,484
deepset-ai/farmAn open-source framework for adapting representation models to various tasks and industries1,743
microsoft/loraA method to adapt large language models by reducing their parameter count using low-rank adaptation matrices10,959
pytorch/pytorchA Python library providing tensors and dynamic neural networks with strong GPU acceleration84,978
kimiyoung/transformer-xlImplementations of a neural network architecture for language modeling3,619
pytorch/examplesA collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning.22,530
lucidrains/reformer-pytorchAn implementation of Reformer, an efficient Transformer model for natural language processing tasks.2,132
catalyst-team/catalystA PyTorch framework for accelerating deep learning research and development by focusing on reproducibility, rapid experimentation, and codebase reuse.3,300
ukplab/sentence-transformersProvides dense vector representations for text using transformer networks15,556
eleutherai/pythiaAnalyzing knowledge development and evolution in large language models during training2,309