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A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
Benchmarks of artificial neural network library for Spark MLlib
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.
A curated list of deep learning resources for computer vision
A curated list of awesome Machine Learning frameworks, libraries and software.
All the work for AXA Driver Telematics challenge on Kaggle
Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition
AXA Driver Telematics Analysis Kaggle competition
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
faceted search engine
Graph theory analysis of brain MRI data
LinkedIn's previous generation Kafka to HDFS pipeline.
Practical examples for the R caret machine learning package
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Community detection and LDA using Apache Spark and Cassandra
Approximate Nearest Neighbors in Spark
LR and GBDT CTR model
Fork of Alex Krizhevsky's cuda-convnet 1. Adds dropout.
Hadoop library for large-scale data processing, now an Apache Incubator project
Deep Learning (Python, C, C++, Java, Scala, Go)
deep learning toolkit in R
DeepNude's pix2pixHD algorithms(proposed by NVIDIA) and general-purpose Image-to-Image theory and practice research. DeepNude的pix2pixHD算法(英伟达提出)以及通用的Image-to-Image理论与实践研究。
Deep learning in Python
An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.
Community Detection and Compression Analytic for Big Graph Data
Distributed word embedding
Dive into Machine Learning with Jupyter and scikit-learn
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.