342 Open source projects that are alternatives of or similar to Awesome Gradient Boosting Papers

Object classification with CIFAR-10 using transfer learning

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

A sophisticated smart symptom search engine

⛔️ ARCHIVED ⛔️ 🐒 R package for text analysis with Monkeylearn 🐒

Machine learning to classify Malicious (Spam)/Benign URL's

licensechecker (lc) a command line application which scans directories and identifies what software license things are under producing reports as either SPDX, CSV, JSON, XLSX or CLI Tabular output. Dual-licensed under MIT or the UNLICENSE.

Building classifiers using cancer transcriptomes across 33 different cancer-types

simple rules engine

A simple web app that shows how Watson's Natural Language Classifier (NLC) can classify ICD-10 code. The app is written in Python using the Flask framework and leverages the Watson Developer Cloud Python SDK

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

A Python interface for Facebook fastText

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Machine learning for Project Cognoma

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Simple and Distributed Machine Learning

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Time Series Forecasting Best Practices & Examples

A tour through recommendation algorithms in python [IN PROGRESS]

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。

A java implementation of LightGBM predicting part

Precompiled packages for AWS Lambda

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

LAMA - automatic model creation framework

Open source Machine Learning library written in Java

A game theoretic approach to explain the output of any machine learning model.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Machine learning, in numpy

Gradient Boosting powered by GPU(NVIDIA CUDA)

Natural Gradient Boosting for Probabilistic Prediction

Materials for GWU DNSC 6279 and DNSC 6290.

Tutorials and training material for the H2O Machine Learning Platform

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example

docker files for h2o http2 webserver

Verteego Data Suite

Sparkling Water provides H2O functionality inside Spark cluster

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.