zhouyonglong Goto Github PK

thompson-sampling

Java implementation of Thompson sampling to solve the multi-armed bandit problem

thutag

A Package of Keyphrase Extraction and Social Tag Suggestion, the project has moved to

tobit_tensorflow

Low API tensorflow implementation of censored regression Tobit model.

toeplitz-inverse-covariance-based-clustering

tony

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

topic-model-tutorial

Tutorial on topic models in Python with scikit-learn

topic-quality

Palmetto is a quality measuring tool for topics

towards-universal-paraphrastic-sentence-embeddings

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.

tpot-a-python-automated-machine-learning-tool

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

traildb

TrailDB is an efficient tool for storing and querying series of events

training-rnns-as-fast-as-cnns

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

transformer-tensorflow

Implementation of Transformer Model in Tensorflow

tree_split

Tree-split 搬新家..给各位带来的不便深表歉意

treeextra

Additive Groves, Bagged Trees with Feature Evaluation, Interaction Detection, Visualization of Feature Effects.

tslearn

A machine learning toolkit dedicated to time-series data

tvm

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares

twitter-lda

Latent Dirichlet Allocation (LDA) model for Microblogs (Twitter, weibo etc.)

two_tower_recommendation_system

A two tower recommendation system implementation with tensorflow estimator, for CTR or Recall.

ua-device

userAgent解析库

unbiased_lambdamart

Implementation for "Unbiased LambdaMART: An Unbiased PairwiseLearning-to-Rank Algorithm", which is based on LightGBM

uncertainty-calibration

A collection of research and application papers of (uncertainty) calibration techniques.

unsupervised-representation-learning-by-sorting-sequence

unsupervisedmt

Phrase-Based & Neural Unsupervised Machine Translation

user-response-learning-for-directly-optimizing

A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Performance in Display Advertising"

utils4s

scala、spark使用过程中，各种测试用例以及相关资料整理

vae_cf

Variational autoencoders for collaborative filtering

vearch

A distributed system for efficient similarity search of deep learning vectors

vectorbenchmarks

vectorflow

vectorsinsearch

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference