NeuronBlocks
NLP model builder
A toolkit for building and deploying neural network models for natural language processing tasks.
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
1k stars
64 watching
196 forks
Language: Python
last commit: about 3 years agoartificial-intelligencedeep-learningdnnknowledge-distillationmodel-compressionnatural-language-processingpytorchqnaquestion-answeringsequence-labelingtext-classificationtext-matching
Related projects:
| Repository | Description | Stars |
|---|---|---|
 balavenkatesh3322/nlp-pretrained-model | A collection of pre-trained natural language processing models | 170 |
 alan-turing-institute/deepsensor | Provides an interface for building and evaluating neural process models for environmental prediction tasks using Python libraries. | 97 |
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 multimodal-art-projection/map-neo | A large language model designed for research and application in natural language processing tasks. | 887 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 juliatext/textmodels.jl | Provides practical neural network-based models for natural language processing in Julia. | 29 |
 elpapi42/deepbay | A library that provides pre-configured, reusable neural network building blocks for easy integration into other projects. | 4 |
 clab/dynet_tutorial_examples | Tutorials on implementing neural networks in NLP using the DyNet toolkit | 433 |
 p-christ/nn_builder | Builds neural networks with less boilerplate code by providing a standardized interface for different architectures | 166 |
 backprop-ai/backprop | A Python library that provides pre-trained models and tools for fine-tuning and deploying natural language processing tasks | 243 |
 deepgram/kur | A system for quickly building and applying state-of-the-art deep learning models to new problems | 818 |
 huggingface/hmtl | A neural network model for learning semantic representations from multiple natural language processing tasks | 1,191 |
 deepset-ai/farm | An open-source framework for adapting representation models to various tasks and industries | 1,743 |
 mila-iqia/blocks | A framework for building and training neural networks using Theano | 1,154 |
 adobe/nlp-cube | A framework providing a set of Natural Language Processing tasks such as tokenization, part-of-speech tagging, and dependency parsing for multiple languages. | 555 |