microsoft/NeuronBlocks
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
This toolkit helps machine learning engineers and researchers quickly build and train deep neural network models for various Natural Language Processing (NLP) tasks. You provide raw text data for tasks like sentiment analysis or question answering, and it outputs a trained model ready for prediction. This is for anyone creating custom NLP solutions who wants to reduce development time and complexity.
1,454 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher building custom NLP deep learning models and want to streamline development by assembling models from pre-built components or using existing configurations.
Not ideal if you are an end-user looking for a ready-to-use NLP application without any coding or model development.
Stars
1,454
Forks
192
Language
Python
License
MIT
Category
Last pushed
Jul 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/microsoft/NeuronBlocks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kermitt2/delft
a Deep Learning Framework for Text https://delft.readthedocs.io/
yoeo/guesslang
Detect the programming language of a source code
matthewdeanmartin/whats_that_code
detect programming language of source in pure python from an ensemble of classifiers
airalcorn2/Deep-Semantic-Similarity-Model
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent...
christiansafka/img2vec
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image