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FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
Officially supported AllenNLP models
Web-based chat UI for Teneo chatbots that can be embedded in websites.
MATLAB code for analysing Audio Signals and filtering
SQuAD Question Answering Using BERT, PyTorch
Context-Based-Question-Answering
Currently pursuing a Study Oriented Project under Prof Yashwardhan Sir , Topic : Conversational AI for understanding Customer Behavior; We are a team of 4 and the project is aimed at building a multilingual chatbot in association with C-Zentrix; Role: Sentiment analysis , Fine-tuned BERT Model for Binary Sentiment analysis, implemented multi class-sentiment analysis on hotel review dataset, implemented an LSTM model for binary Sentiment Classification
CoVoST: A Large-Scale Multilingual Speech-To-Text Translation Corpus (CC0 Licensed)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Abstractive text summarization by fine-tuning seq2seq models.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Google Research
Hands-On Machine Learning with Microsoft Excel, published by Packt
HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts
Hinglish Text Classification
Create beautiful, publication-quality books and documents from computational content.
Fine-tuning BERT for Sentiment Analysis
Language-Agnostic SEntence Representations
An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.
This is a small project to classify the GTZAN dataset by applying multiple algorithms for training the models.
Sentiment analysis of code-mixed languages from SentiMix 2020
A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
Oxford Deep NLP 2017 course - Practical 2: Text Classification
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.
Quick Hands-On NLTK tutorial for NLP in Python. NLTK is one of the most popular Python packages for Natural Language Processing (NLP). Easy to Start for Anyone.
🪐 End-to-end NLP workflows from prototype to production
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.