Ramsey's repositories
recosystem
Recommender System Using Parallel Matrix Factorization
TensorNet-TF
TensorNet (TensorFlow implementation)
bezmouse
Simulate human mouse movements with xdotool
spark
Mirror of Apache Spark
pruning_with_tensorflow
I demonstrate how to compress a neural network using pruning in tensorflow.
tensorflow-with-kenlm
Tensorflow with KenLM integrated for beam search scoring
deeplearn17-notes
Notes related to DeepLearn2017, http://grammars.grlmc.com/DeepLearn2017/
Scalable-Variational-Bayesian-Factorization-Machine
Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.
dist_tf_train
distribute tensorflow framework template
PairwisePreferenceLearning
Performs pairwise preference ranking for a given trainfile and testfile with binary class labels (1 and not 1). The binary classification on the pairwise test data gives a prediction from each pair of test items: which of the two should be ranked higher. From these pairwise preferences a ranking can be created using a greedy sort algorithm.
DiversityRS
Diversity recommendation system algrithom
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
TensorFlowOnYARN
Support TensorFlow on YARN
ytk-learn
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax, SVM).
LDDP
Learning Detection with Diverse Proposals at CVPR 2017
AllyMax
A high-parallelism minimax search
lstm_word2vec
Use word2vec embedding with LSTM for the "Bag of Words meets Bag of Popcorn" challenge
FairMachineLearning
Implementation of provably Rawlsian fair ML algorithms for contextual bandits.
files
面经文件
EasyJson
Easy-to-use JSON library written in Scala
stRatification
full sample/sample splitting estimation of ATE for subgroups
evolution-strategies
distributed parameter optimization through natural evolution strategies