itspritish Goto Github PK
Name: Pritish N
Type: User
Bio: ever learning
Name: Pritish N
Type: User
Bio: ever learning
Abstractive summarisation using Bert as encoder and Transformer Decoder
A curated list of resources dedicated to text summarization
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
Keras implementation of BERT with pre-trained weights
Code for paper Fine-tune BERT for Extractive Summarization
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
An End-To-End Closed Domain Question Answering System.
A Code-First Introduction to NLP course
The 3rd edition of course.fast.ai
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
A collection of various deep learning architectures, models, and tips
Docker - the open-source application container engine
Example Docker Compose app
The fastai deep learning library, plus lessons and tutorials
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
Distributed message search server to anonymously collect, share, dump and index social media search results http://api.loklak.org
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Models and examples built with TensorFlow
Latex code for making neural networks diagrams
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.