agolocuonghoang Goto Github PK
Type: User
Bio: Personal github account: https://github.com/hoangcuong2011
Type: User
Bio: Personal github account: https://github.com/hoangcuong2011
Code for "A-NICE-MC: Adversarial Training for MCMC"
Algorithms described on http://myencyclopedia.top/blog
This is an automated machine learning (AutoML) package.
Data for Automatic Keyphrase Extraction Task
A curated list of resources dedicated to text summarization
Classifying text with bag-of-words
Content for Comet Blog
Stanford CoreNLP: A Java suite of core NLP tools.
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
Code for "Learning to Generate Reviews and Discovering Sentiment"
Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
Deep Learning for humans
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Mimic WMD using a Neural Network
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
✨State-of-the-art coreference resolution based on neural nets and spaCy
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
Neural Relation Extraction implemented in TensorFlow
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
Snowball: Extracting Relations from Large Plain-Text Collections
Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
An Open Source Machine Learning Framework for Everyone
A collection of Tensorflow implementations of embeddings for entities.
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.