107 Open source projects that are alternatives of or similar to Deep-Learning-for-Human-Activity-Recognition

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

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

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

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A full pipeline AutoML tool for tabular data

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Machine Learning Tool Box

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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A library for debugging/inspecting machine learning classifiers and explaining their predictions

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Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

a solution for competition of kaggle `Human or Robot`

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Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

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Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.

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Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

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

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A collection of research papers on decision, classification and regression trees with implementations.

Open solution to the Mapping Challenge 🌎

Show how to perform fast retraining with LightGBM in different business cases

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

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Simple and Distributed Machine Learning

基于移动网络通讯行为的风险用户识别 (15th/624)

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A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

关注AI模型上线、模型部署

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。

Bayesian Optimization and Grid Search for xgboost/lightgbm

Performance of various open source GBM implementations

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MLBox is a powerful Automated Machine Learning python library.

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Implementation of cartoon GAN [Chen et al., CVPR18] with pytorch

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Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

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Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

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