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ACE 2005 Corpus Preprocessing
ACE 2005 corpus preprocessing for Event Extraction task
Source code for paper Neural Architectures for Nested NER through Linearization
Repository for AI OpenScale Data Distribution
enhance seq2seq model for open ended dialog generation
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Mapping a variable-length sentence to a fixed-length vector using BERT model
brat rapid annotation tool (brat) - for all your textual annotation needs
An Implementation of Copy Seq2Seq
CopyNet Implementation with Tensorflow and nmt
An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
Reading Wikipedia to Answer Open-Domain Questions
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
TensorFlow examples
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Topic Modelling for Humans
Pytorch implementation of "Get to the point: Get To The Point: Summarization with Pointer-Generator Networks"
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
Book Hands on Machine Learning with Scikit-Learn and Tensorflow from O'reilly - Geron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]
Jupyter notebooks for testing concepts
Deep Learning for humans
Hyperparameter tuning for humans
kfctl is a CLI for deploying and managing Kubeflow
knowledge graph deductive reasoning using memory networks
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
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.