FARM
Model adapter
An open-source framework for adapting representation models to various tasks and industries
Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
2k stars
53 watching
247 forks
Language: Python
last commit: 11 months ago
Linked from 1 awesome list
bertdeep-learninggermanbertlanguage-modelsnernlpnlp-frameworknlp-librarypretrained-modelspytorchquestion-answeringrobertatransfer-learningxlnet-pytorch
keon/awesome-nlpRelated projects:
| Repository | Description | Stars |
|---|---|---|
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 244 |
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 alan-turing-institute/deepsensor | Provides an interface for building and evaluating neural process models for environmental prediction tasks using Python libraries. | 92 |
 deepgram/kur | A system for quickly building and applying state-of-the-art deep learning models to new problems | 817 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
| deepset-ai/haystack-core-integrations | Extensions to Haystack's document store and embedder capabilities for NLP tasks. | 118 |
 balavenkatesh3322/nlp-pretrained-model | A collection of pre-trained natural language processing models | 170 |
 wasidennis/adaptsegnet | This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. | 849 |
 vhellendoorn/code-lms | A guide to using pre-trained large language models in source code analysis and generation | 1,782 |
 backprop-ai/backprop | A Python library that provides pre-trained models and tools for fine-tuning and deploying natural language processing tasks | 243 |
 matthias-wright/flaxmodels | Provides pre-trained deep learning models for the Jax/Flax ecosystem. | 238 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 467 |
 german-nlp-group/german-transformer-training | Trains German transformer models to improve language understanding | 23 |
 deepseek-ai/deepseek-vl | A multimodal AI model that enables real-world vision-language understanding applications | 2,077 |