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Type: Organization
Type: Organization
Implementation of abstractive summarization using LSTM with Residual Recurrent Attention in the encoder-decoder architecture with local attention.
A complete list of papers on anomaly detection.
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of awesome machine learning interpretability resources.
Text Summarization
This curated list contains python packages for time series analysis
Forecasting Economic Risks in the EU into 2020
Python Causal Impact port of Google's Algorithm.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Complete solutions for Stanford CS224n, winter, 2019
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
A collection of various deep learning architectures, models, and tips
The fast.ai deep learning library, lessons, and tutorials
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
Fast Python Collaborative Filtering for Implicit Datasets
Generate graphs stored in GraphML format from csv files that contain relatable data.
A Python implementation of LightFM, a hybrid recommendation algorithm.
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Python library for artistic text generation
Oxford Deep NLP 2017 course - Practical 1: word2vec
Minicourse in Deep Learning with PyTorch
PyTorch Tutorial for Deep Learning Researchers
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Natural Language Understanding Library for Apache Spark.
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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.