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PyTorch Tutorial for Deep Learning Researchers
Machine Translation Quality Estimation
Java 8 Recommender Systems framework for novelty, diversity and much more
Simple Reinforcement learning tutorials
1st place solution for the Kuaishou Active-user Forecast competition
Must-read papers on Recommender System.
Python implementation of the rulefit algorithm
Gets the sentiment of YouTube comments
The code imports a dataset from a folder on desktop. A model is created using Convolution neural network. The model is trained and tested using the data from the text file. The model can then be used to predict if a sentence is positive sentiment sentence or a negative one.
Sequence to Sequence Learning with Keras
Pandas integration with sklearn
Supervised Latent Dirichlet Allocation for Classification
A system for quickly generating training data with weak supervision
Python library for processing Chinese text
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
Mirror of Apache Spark
Scikit-learn integration package for Apache Spark
Learning Apache spark,including code and data .Most part can run local.
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
Sequence modeling benchmarks and temporal convolutional networks
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorial and Examples for Beginners with Latest APIs
It is open source ebook about TensorFlow kernel and implementation mechanism.
谷歌全新开源人工智能系统TensorFlow官方文档中文版
Tesseract Open Source OCR Engine (main repository)
A collection of datasets that pair questions with SQL queries.
all kinds of text classificaiton models and more with deep learning
:deciduous_tree:从中文文本中自动提取关键词和摘要
This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。
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.