All Projects → Cubist → Similar Projects or Alternatives

544 Open source projects that are alternatives of or similar to Cubist

Python-Machine-Learning-Fundamentals
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
Stars: ✭ 46 (+109.09%)
Mutual labels:  scikit-learn, regression
Deep learning projects
Stars: ✭ 28 (+27.27%)
Mutual labels:  scikit-learn, regression
Ailearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Stars: ✭ 32,316 (+146790.91%)
Mutual labels:  scikit-learn, regression
The Deep Learning With Keras Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Stars: ✭ 34 (+54.55%)
Mutual labels:  scikit-learn, regression
regression-stock-prediction
Predicting Google’s stock price using regression
Stars: ✭ 54 (+145.45%)
Mutual labels:  scikit-learn, regression
pycobra
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (+404.55%)
Mutual labels:  scikit-learn, regression
Python-Machine-Learning
Python Machine Learning Algorithms
Stars: ✭ 80 (+263.64%)
Mutual labels:  scikit-learn, regression
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+9886.36%)
Mutual labels:  scikit-learn, regression
Alphapy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Stars: ✭ 564 (+2463.64%)
Mutual labels:  scikit-learn, regression
projection-pursuit
An implementation of multivariate projection pursuit regression and univariate classification
Stars: ✭ 24 (+9.09%)
Mutual labels:  scikit-learn, regression
ML-Track
This repository is a recommended track, designed to get started with Machine Learning.
Stars: ✭ 19 (-13.64%)
Mutual labels:  scikit-learn, regression
Interactive machine learning
IPython widgets, interactive plots, interactive machine learning
Stars: ✭ 140 (+536.36%)
Mutual labels:  scikit-learn, regression
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+14227.27%)
Mutual labels:  scikit-learn, regression
nlp workshop odsc europe20
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…
Stars: ✭ 127 (+477.27%)
Mutual labels:  scikit-learn
Heart-Diagnosis-Engine
2019년 민족사관고등학교 졸업 프로젝트
Stars: ✭ 12 (-45.45%)
Mutual labels:  scikit-learn
reggie
Stata-like Regression Functionality for R
Stars: ✭ 24 (+9.09%)
Mutual labels:  regression
econtools
Econometrics and data manipulation functions.
Stars: ✭ 96 (+336.36%)
Mutual labels:  regression
smooth
The set of smoothing functions used for time series analysis and in forecasting.
Stars: ✭ 78 (+254.55%)
Mutual labels:  regression
blorr
Tools for developing binary logistic regression models
Stars: ✭ 16 (-27.27%)
Mutual labels:  regression
ml-rest
REST API (and possible UI) for Machine Learning workflows
Stars: ✭ 62 (+181.82%)
Mutual labels:  scikit-learn
LinearRegression.jl
Linear Regression for Julia
Stars: ✭ 12 (-45.45%)
Mutual labels:  regression
polatory
Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.
Stars: ✭ 82 (+272.73%)
Mutual labels:  regression
rezonance
Content Based Music Recommendation Service
Stars: ✭ 28 (+27.27%)
Mutual labels:  scikit-learn
website-fingerprinting
Deanonymizing Tor or VPN users with website fingerprinting and machine learning.
Stars: ✭ 59 (+168.18%)
Mutual labels:  scikit-learn
ara
Agile Regression Analyzer
Stars: ✭ 74 (+236.36%)
Mutual labels:  regression
PyTsetlinMachineCUDA
Massively Parallel and Asynchronous Architecture for Logic-based AI
Stars: ✭ 37 (+68.18%)
Mutual labels:  regression
cli
Polyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-18.18%)
Mutual labels:  scikit-learn
Regression
Multiple Regression Package for PHP
Stars: ✭ 88 (+300%)
Mutual labels:  regression
cheapml
Machine Learning algorithms coded from scratch
Stars: ✭ 17 (-22.73%)
Mutual labels:  regression
basis-expansions
Basis expansion transformers in sklearn style.
Stars: ✭ 74 (+236.36%)
Mutual labels:  regression
20-newsgroups text-classification
"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
Stars: ✭ 41 (+86.36%)
Mutual labels:  scikit-learn
mlhandbook
My textbook for teaching Machine Learning
Stars: ✭ 23 (+4.55%)
Mutual labels:  scikit-learn
verbecc
Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian
Stars: ✭ 45 (+104.55%)
Mutual labels:  scikit-learn
mugshot
Framework independent visual testing library
Stars: ✭ 126 (+472.73%)
Mutual labels:  regression
Algorithmic-Trading
Algorithmic trading using machine learning.
Stars: ✭ 102 (+363.64%)
Mutual labels:  scikit-learn
skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Stars: ✭ 22 (+0%)
Mutual labels:  scikit-learn
SGpp
SG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Stars: ✭ 59 (+168.18%)
Mutual labels:  regression
MLweb
Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
Stars: ✭ 85 (+286.36%)
Mutual labels:  regression
regressr
A command line regression testing framework for testing HTTP services
Stars: ✭ 35 (+59.09%)
Mutual labels:  regression
R-stats-machine-learning
Misc Statistics and Machine Learning codes in R
Stars: ✭ 33 (+50%)
Mutual labels:  regression
Cuff less BP Prediction
Prediction of Blood Pressure from ECG and PPG signals using regression methods.
Stars: ✭ 101 (+359.09%)
Mutual labels:  regression
broomExtra
Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
Stars: ✭ 45 (+104.55%)
Mutual labels:  regression
EvoTrees.jl
Boosted trees in Julia
Stars: ✭ 108 (+390.91%)
Mutual labels:  regression
ml webapp
Explore machine learning models. Leveraging scikit-learn's models and exposing their behaviour through API
Stars: ✭ 29 (+31.82%)
Mutual labels:  scikit-learn
jGeneticNeuralNet
A Java library that trains neural networks with a genetic algorithm.
Stars: ✭ 16 (-27.27%)
Mutual labels:  regression
ml course
"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (+0%)
Mutual labels:  regression
TextClassification
基于scikit-learn实现对新浪新闻的文本分类,数据集为100w篇文档,总计10类,测试集与训练集1:1划分。分类算法采用SVM和Bayes,其中Bayes作为baseline。
Stars: ✭ 86 (+290.91%)
Mutual labels:  scikit-learn
charts
Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.
Stars: ✭ 32 (+45.45%)
Mutual labels:  scikit-learn
psyplot
Python package for interactive data visualization
Stars: ✭ 64 (+190.91%)
Mutual labels:  regression
lyapy
Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
Stars: ✭ 35 (+59.09%)
Mutual labels:  regression
pyowl
Ordered Weighted L1 regularization for classification and regression in Python
Stars: ✭ 52 (+136.36%)
Mutual labels:  regression
dlime experiments
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Stars: ✭ 21 (-4.55%)
Mutual labels:  scikit-learn
ASD-ML-API
This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…
Stars: ✭ 14 (-36.36%)
Mutual labels:  scikit-learn
emoji-prediction
🤓🔮🔬 Emoji prediction from a text using machine learning
Stars: ✭ 41 (+86.36%)
Mutual labels:  scikit-learn
kaggledatasets
Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
Stars: ✭ 44 (+100%)
Mutual labels:  scikit-learn
sklearn-pmml-model
A library to parse and convert PMML models into Scikit-learn estimators.
Stars: ✭ 71 (+222.73%)
Mutual labels:  scikit-learn
pedestrian-detection
Pedestrian Detection using Non Maximum Suppression
Stars: ✭ 30 (+36.36%)
Mutual labels:  scikit-learn
bayarea-2019-scikit-sprint
Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)
Stars: ✭ 16 (-27.27%)
Mutual labels:  scikit-learn
prediction
Tidy, Type-Safe 'prediction()' Methods
Stars: ✭ 86 (+290.91%)
Mutual labels:  regression
LIBSVM.jl
LIBSVM bindings for Julia
Stars: ✭ 74 (+236.36%)
Mutual labels:  regression
1-60 of 544 similar projects