All Projects → SangitaNLP → Sangita

SangitaNLP / Sangita

Licence: apache-2.0
A Natural Language Toolkit for Indian Languages

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Sangita

Ner Lstm
Named Entity Recognition using multilayered bidirectional LSTM
Stars: ✭ 532 (+1137.21%)
Mutual labels:  natural-language-processing, deep-neural-networks, lstm, recurrent-neural-networks
Deep Learning Time Series
List of papers, code and experiments using deep learning for time series forecasting
Stars: ✭ 796 (+1751.16%)
Mutual labels:  deep-neural-networks, lstm, recurrent-neural-networks
Keras Attention
Visualizing RNNs using the attention mechanism
Stars: ✭ 697 (+1520.93%)
Mutual labels:  natural-language-processing, deep-neural-networks, recurrent-neural-networks
Gdax Orderbook Ml
Application of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (+39.53%)
Mutual labels:  deep-neural-networks, lstm, recurrent-neural-networks
Chicksexer
A Python package for gender classification.
Stars: ✭ 64 (+48.84%)
Mutual labels:  natural-language-processing, lstm, recurrent-neural-networks
Bitcoin Price Prediction Using Lstm
Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Stars: ✭ 67 (+55.81%)
Mutual labels:  deep-neural-networks, lstm, recurrent-neural-networks
Deepseqslam
The Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (+13.95%)
Mutual labels:  deep-neural-networks, lstm, recurrent-neural-networks
Pytorch Pos Tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (+123.26%)
Mutual labels:  natural-language-processing, lstm, recurrent-neural-networks
Pytorch Kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Stars: ✭ 2,097 (+4776.74%)
Mutual labels:  deep-neural-networks, lstm, recurrent-neural-networks
Pytorch Learners Tutorial
PyTorch tutorial for learners
Stars: ✭ 97 (+125.58%)
Mutual labels:  deep-neural-networks, lstm, recurrent-neural-networks
Multitask sentiment analysis
Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587
Stars: ✭ 93 (+116.28%)
Mutual labels:  natural-language-processing, lstm, recurrent-neural-networks
Pytorch Sentiment Analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+7362.79%)
Mutual labels:  natural-language-processing, lstm, recurrent-neural-networks
Trending Deep Learning
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Stars: ✭ 543 (+1162.79%)
Mutual labels:  deep-neural-networks, recurrent-neural-networks
Speech Emotion Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Stars: ✭ 633 (+1372.09%)
Mutual labels:  natural-language-processing, deep-neural-networks
Tensorflow Lstm Regression
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
Stars: ✭ 433 (+906.98%)
Mutual labels:  lstm, recurrent-neural-networks
Conv Emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
Stars: ✭ 646 (+1402.33%)
Mutual labels:  natural-language-processing, lstm
Zoneout Tensorflow
An implementation of zoneout regularizer on LSTM-RNN by Tensorflow
Stars: ✭ 23 (-46.51%)
Mutual labels:  deep-neural-networks, recurrent-neural-networks
Spago
Self-contained Machine Learning and Natural Language Processing library in Go
Stars: ✭ 854 (+1886.05%)
Mutual labels:  natural-language-processing, lstm
Neuronlp2
Deep neural models for core NLP tasks (Pytorch version)
Stars: ✭ 397 (+823.26%)
Mutual labels:  natural-language-processing, deep-neural-networks
Chainer Rnn Ner
Named Entity Recognition with RNN, implemented by Chainer
Stars: ✭ 19 (-55.81%)
Mutual labels:  lstm, recurrent-neural-networks

Sangita.



forthebadge

Chat at Slack

GitHub open pull requests GitHub closed pull requests GitHub closed issues GitHub open issues

A Natural Language Toolkit for Indian Languages

![](https://img.shields.io/badge/language-Hindi-red.svg?style=for-the-badge)

What is Sangita?

Sangita is a natural language toolkit for Indian languages built in Python. The aim of the project is to provide basic Natural Language Functionalities that include tokenization, lemmatisation, stemming, named entity recognition and Part of Speech Tagging for popular Indian Languages with Deep Neural Networks being employed for some of these tasks.

Dependencies

* Keras
* Scikit Learn
* Corpus is Stored at Sangita Data

License

The code and the models are distributed under the Apache 2.0 License.

We have used the following datasets and their respective Liesnses are enclosed along with them.

  • Hindi Dependency Treebank - LANGUAGE TECHNOLOGIES RESEARCH CENTER, IIIT Hyderabad.

    • Creative Commons License Attribution-NonCommercial-ShareAlike 4.0 International.

Contributions

Issues relating to Girlscript Summer of Code are referenced with the respective tags:

* Cakewalk - 10 points
* Intermediate - 20 points
* Pro - 30 points
* TopCoder - 50 points

You can look at the ongoing issues here on this project board

Check out the first evaluation milestone

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].