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3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-319-70096-0_59
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
Tensorflow implementation for prodLDA and NVLDA.
TensorFlow code and pre-trained models for BERT
CPU and GPU-accelerated Machine Learning Library
Index Common Crawl archives in tabular format
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Implementation of Deep Boltzmann Machines for text-mining
Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text (EMNLP2018)
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
Mixture of Generative Adversarial Networks for Clustering
Topic Modelling for Humans
Converting GloVe vectors into word2vec format for easy usage with Gensim
HDLTex: Hierarchical Deep Learning for Text Classification
PyTorch deep learning models for document classification
Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.
Code accompanying the paper "KATE: K-Competitive Autoencoder for Text"
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.
Linguistically-Informed Self-Attention implemented in TensorFlow
Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes
mixed membership stochastic block model
Scalable Topic Modeling using Variational Inference in MapReduce
Super Resolution for images using deep learning.
Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
This is a new deep learning model for recommender system, which we called PHD
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.