250 Open source projects that are alternatives of or similar to ml-simulations

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Earthquake Prediction Challenge with LightGBM and XGBoost

Allstate Kaggle Competition ML Capstone Project

📒 Experiment tracking tool and model registry

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

Convert XGBoost's DMatrix format to np.array

CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

PCA that iteratively replaces missing data

An End to End Customer Churn Prediction solution using AWS services.

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Open solution to the Santander Value Prediction Challenge 🐠

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

🏗 Statistical models for biomolecular dynamics 🏗

Alpine Container for Machine Learning

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Code for "Effective Dimensionality Reduction for Word Embeddings".

Serverless Inferencing on Kubernetes

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Advanced High Performance Data Science Toolbox for R by Laurae

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

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

SJTU CS386 Digital Image Processing

No description or website provided.

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

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

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

H2Oai GPU Edition

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Python code for common Machine Learning Algorithms

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.

H2O.ai Machine Learning Interpretability Resources

Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Open solution to the Home Credit Default Risk challenge 🏡

Scalable machine 🤖 learning for time series forecasting.

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Stacked Generalization (Ensemble Learning)

Cukatify is a music social media project

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Pure Java implementation of XGBoost predictor for online prediction tasks.

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

Interactive Visual Machine Learning Demos.

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

zAnalysis是基于Pascal语言编写的大型统计学开源库

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Rust bindings for XGBoost.

Machine learning models for time series analysis

🌳 Stacked Gradient Boosting Machines

Automatic machine learning for tabular data. ⚡🔥⚡

A collection of Poisson lognormal models for multivariate count data analysis

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…