Stars
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Read and write Tensorflow TFRecord data from Apache Spark.
Scalable, portable, and distributed Gradient Boosting (GBDT, GBRT or GBM) library, for Python, R, Java, Scala, C++ and more. Runs on single host, Hadoop, Spark, Flink and DataFlow
Tensorflow Serving Protobufs in Go
Distributed FM and LR based on Parameter Server with Ftrl
Your ultimate Go microservices framework for the cloud-native era.
TensorFlow Implementation of Attentional Factorization Machine
An implementation of a deep learning recommendation model (DLRM)
Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
Universal model exchange and serialization format for decision tree forests
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communi…
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Parameter server framework for distributed machine learning
Code for "Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model"
Integration of TensorFlow with other open-source frameworks
A curated list of awesome Go frameworks, libraries and software
A Flexible and Powerful Parameter Server for large-scale machine learning
A curated list of awesome Machine Learning frameworks, libraries and software.