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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019
This repository is for EMNLP 2021 paper: It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
Over 230 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty
A Learning Framework for Neural Abstractive Text Summarization
Moses, the machine translation system
Large-scale multi-document summarization dataset and code
Lightweight method based on shortest path on word graphs and NLP to generate single sentence summaries that highly relevant and grammatically sound
Neural Attention Model for Abstractive Summarization
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Natural Language Processing Tutorial for Deep Learning Researchers
Code Samples from Neural Networks for NLP
An Open-Source Package for Knowledge Embedding (KE)
Open Source Neural Machine Translation in PyTorch
Opinosis - Graph Based Summarization Framework. This repo contains Opinosis Demo Software & Dataset
Pandas Cookbook, published by Packt
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization
A natural language modeling framework based on PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch memory track code
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Classic papers and resources on recommendation
Deep Reinforcement Learning For Sequence to Sequence Models
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.