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Papers on Computational Advertising
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of gradient boosting research papers with implementations.
A collection of important graph embedding, classification and representation learning papers with implementations.
Paper Lists for Graph Neural Networks
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
TensorFlow code and pre-trained models for BERT
Keras implementation of BERT with pre-trained weights
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm预训练模型)
A paper list of object detection using deep learning.
DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A library for efficient similarity search and clustering of dense vectors.
Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
Deep Learning for humans
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
Models and examples built with TensorFlow
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Implementation of the node2vec algorithm.
Repository for the MLAgents Obstacle Tower challenge
PRML algorithms implemented in Python
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A Tensorflow implementation of QANet for machine reading comprehension
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.