luojiahuli's repositories
AXA
All the work for AXA Driver Telematics challenge on Kaggle
AXA_Telematics
Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition
AXA_Telematics-1
AXA Driver Telematics Analysis Kaggle competition
benchm-ml
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.).
brainGraph
Graph theory analysis of brain MRI data
camus
LinkedIn's previous generation Kafka to HDFS pipeline.
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
DeepLearning
Deep Learning (Python, C, C++, Java, Scala, Go)
distributed-graph-analytics
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.
dpark
Python clone of Spark, a MapReduce alike framework in Python
FeatureFu
Library and tools for advanced feature engineering
graph-ql
A parser for Facebook's GraphQL written in Haskell
graphx
Former GraphX development repository. GraphX has been merged into Apache Spark; please submit pull requests there.
haha
蛤蛤体生成器
HLearn
Homomorphic machine learning
kafka-hadoop-loader
Hadoop Job for incremental loading messages from Kafka topics onto hdfs with multiple file output semantics
keystone
Simplifying robust end-to-end machine learning on Apache Spark.
LSHR
Locality Sensitive Hashing In R
Machine-Learning-with-R-datasets
Formatted datasets for Machine Learning With R by Brett Lantz
MachineLearning_in_Spark
Machine Learning Using Spark
MemNN
Memory Networks implementations
parameter_server
moved to https://github.com/dmlc/ps-lite
quant
Quant is a python-based system for stock trading strategy backtesting
RSSL
A Semi-Supervised Learning package for the R programming language
spark
Mirror of Apache Spark
spark-hash
Locality Sensitive Hashing for Apache Spark
svm_demo
Demonstrate SVM for 3 different datasets