Lightgbm With Focal LossAn implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Stars: ✭ 103 (+68.85%)
cart-magento2Mercado Pago's Official Magento 2 Plugin
Stars: ✭ 50 (-18.03%)
Jsmlt🏭 JavaScript Machine Learning Toolkit
Stars: ✭ 22 (-63.93%)
ecommerceEcommerce project || Python Django
Stars: ✭ 123 (+101.64%)
AlinkAlink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Stars: ✭ 2,936 (+4713.11%)
efficient online learningEfficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
Stars: ✭ 20 (-67.21%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+3501.64%)
Automl GsProvide an input CSV and a target field to predict, generate a model + code to run it.
Stars: ✭ 1,766 (+2795.08%)
Learning to rank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。
Stars: ✭ 92 (+50.82%)
QuickmlA fast and easy to use decision tree learner in java
Stars: ✭ 230 (+277.05%)
7cart7cart is a php7 project for building online shops, catalogs or service platforms. 7cart built with simple code and database schema. It is easy to support and fast.
Stars: ✭ 27 (-55.74%)
random-survival-forestA Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
Stars: ✭ 40 (-34.43%)
cartShopping cart composer package
Stars: ✭ 109 (+78.69%)
mytekDjango e-commerce web application with advanced features
Stars: ✭ 27 (-55.74%)
Grtgesture recognition toolkit
Stars: ✭ 739 (+1111.48%)
magento-2-sticky-cartMagento 2 Sticky add to cart displayed as a sticky scroll bar summary of the product information, helps customers can quickly add products without going back to the top of the page.
Stars: ✭ 14 (-77.05%)
Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
Stars: ✭ 139 (+127.87%)
Lambda PacksPrecompiled packages for AWS Lambda
Stars: ✭ 997 (+1534.43%)
target-and-marketA data-driven tool to identify the best candidates for a marketing campaign and optimize it.
Stars: ✭ 19 (-68.85%)
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Stars: ✭ 854 (+1300%)
AdaptiveRandomForestRepository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Stars: ✭ 28 (-54.1%)
tensorflow kaggle house price[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow
Stars: ✭ 25 (-59.02%)
DmtkMicrosoft Distributed Machine Learning Toolkit
Stars: ✭ 2,766 (+4434.43%)
devsDevs是一款轻量级的规则引擎
Stars: ✭ 15 (-75.41%)
RoffildlibraryLibrary for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS
Stars: ✭ 63 (+3.28%)
EurekaTreesVisualizes the Random Forest debug string from the MLLib in Spark using D3.js
Stars: ✭ 37 (-39.34%)
Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (+116.39%)
arfsAll Relevant Feature Selection
Stars: ✭ 21 (-65.57%)
kaggle-plasticcSolution to Kaggle's PLAsTiCC Astronomical Classification Competition
Stars: ✭ 50 (-18.03%)
rfvisA tool for visualizing the structure and performance of Random Forests 🌳
Stars: ✭ 20 (-67.21%)
secure-xgboostSecure collaborative training and inference for XGBoost.
Stars: ✭ 80 (+31.15%)
RandomforestexplainerA set of tools to understand what is happening inside a Random Forest
Stars: ✭ 175 (+186.89%)
graspEssential NLP & ML, short & fast pure Python code
Stars: ✭ 58 (-4.92%)
urb-studies-predicting-gentrificationThis repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".
Stars: ✭ 35 (-42.62%)
SynapseMLSimple and Distributed Machine Learning
Stars: ✭ 3,355 (+5400%)
mltbMachine Learning Tool Box
Stars: ✭ 25 (-59.02%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (+221.31%)
ShapA game theoretic approach to explain the output of any machine learning model.
Stars: ✭ 14,917 (+24354.1%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (+157.38%)
Deep ForestAn Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Stars: ✭ 547 (+796.72%)
lightgbmExplainerAn R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)
Stars: ✭ 22 (-63.93%)
ZoltarCommon library for serving TensorFlow, XGBoost and scikit-learn models in production.
Stars: ✭ 116 (+90.16%)
ml-pipelineUsing Kafka-Python to illustrate a ML production pipeline
Stars: ✭ 90 (+47.54%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+5067.21%)
Edarfexploratory data analysis using random forests
Stars: ✭ 62 (+1.64%)