luojiahuli Goto Github PK

alphago

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.

ann-benchmark

Benchmarks of artificial neural network library for Spark MLlib

awesome-deep-learning-resources

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.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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.).

bobo

faceted search engine

braingraph

Graph theory analysis of brain MRI data

camus

LinkedIn's previous generation Kafka to HDFS pipeline.

caret-machine-learning

Practical examples for the R caret machine learning package

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

community-detection

community-detection-with-spark

Community detection and LDA using Apache Spark and Cassandra

cosine-lsh-join-spark

Approximate Nearest Neighbors in Spark

ctrmodel

LR and GBDT CTR model

cuda-convnet

Fork of Alex Krizhevsky's cuda-convnet 1. Adds dropout.

datafu

Hadoop library for large-scale data processing, now an Apache Incubator project

deepdream

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

deepnet

deep learning toolkit in R

deepnude-an-image-to-image-technology

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。

deeppy

Deep learning in Python

deepr

An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.

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.

distributed-louvain-modularity

Community Detection and Compression Analytic for Big Graph Data

distributed_word_embedding

Distributed word embedding

dive-into-machine-learning

Dive into Machine Learning with Jupyter and scikit-learn