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allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

char-rnn

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

fast_rgf

Multi-core implementation of Regularized Greedy Forest

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lightgbm

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

nccl-tests

NCCL Tests

neural-style

Torch implementation of neural style algorithm

nn

optim

A numeric optimization package for Torch.

ottertune

The automatic DBMS configuration tool

paddle

PArallel Distributed Deep LEarning

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-fm

Factorization Machine models in PyTorch

quantplusapi_python

PT_QuantBaseApi python version

quantstageapi_cpp

QuantBaseApi cpp version

rapidjson

A fast JSON parser/generator for C++ with both SAX/DOM style API

sparkdistributedmatrix

distributed matrix operation implemented on Apache Spark

test

1.0

torch7

http://torch.ch

tutorials

A series of machine learning tutorials for Torch7

vision

Datasets, Transforms and Models specific to Computer Vision

word2vec-pytorch

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow