All Projects → Pycaret → Similar Projects or Alternatives

8352 Open source projects that are alternatives of or similar to Pycaret

Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (-52.18%)
Mlj.jl
A Julia machine learning framework
Stars: ✭ 982 (-78.62%)
Ml
A high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (-72.36%)
Openml R
R package to interface with OpenML
Stars: ✭ 81 (-98.24%)
Tensorflow Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (-3.18%)
Mlr
Machine Learning in R
Stars: ✭ 1,542 (-66.43%)
Matrixprofile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Stars: ✭ 141 (-96.93%)
Uci Ml Api
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Stars: ✭ 190 (-95.86%)
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (-31.39%)
Machine Learning From Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-99.09%)
Neuroflow
Artificial Neural Networks for Scala
Stars: ✭ 105 (-97.71%)
Ml Dl Scripts
The repository provides usefull python scripts for ML and data analysis
Stars: ✭ 119 (-97.41%)
Benchmarks
Comparison tools
Stars: ✭ 139 (-96.97%)
Interactive machine learning
IPython widgets, interactive plots, interactive machine learning
Stars: ✭ 140 (-96.95%)
Machine Learning Projects
This repository consists of all my Machine Learning Projects.
Stars: ✭ 135 (-97.06%)
Tribuo
Tribuo - A Java machine learning library
Stars: ✭ 882 (-80.8%)
Mutual labels:  ml, clustering, regression, classification
Smile
Statistical Machine Intelligence & Learning Engine
Stars: ✭ 5,412 (+17.81%)
Lightautoml
LAMA - automatic model creation framework
Stars: ✭ 196 (-95.73%)
Tsfel
An intuitive library to extract features from time series
Stars: ✭ 202 (-95.6%)
Deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (-92.51%)
Food Recipe Cnn
food image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (-90.25%)
Data Science
Collection of useful data science topics along with code and articles
Stars: ✭ 315 (-93.14%)
Telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Stars: ✭ 589 (-87.18%)
H2o 3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (+23.12%)
Mutual labels:  jupyter-notebook, data-science, gpu
Awesome Ai Ml Dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Stars: ✭ 831 (-81.91%)
Mutual labels:  jupyter-notebook, ml, time-series
Bayesian Neural Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Stars: ✭ 900 (-80.41%)
Satellite imagery analysis
Implementation of different techniques to find insights from the satellite data using Python.
Stars: ✭ 31 (-99.33%)
Data Science Toolkit
Collection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-96.32%)
R
All Algorithms implemented in R
Stars: ✭ 294 (-93.6%)
Mutual labels:  clustering, regression, classification
Tsfresh
Automatic extraction of relevant features from time series:
Stars: ✭ 6,077 (+32.28%)
Machinelearningcourse
A collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-99.24%)
Mutual labels:  jupyter-notebook, data-science, ml
Mckinsey Smartcities Traffic Prediction
Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-98.93%)
Synthetic-data-gen
Various methods for generating synthetic data for data science and ML
Stars: ✭ 57 (-98.76%)
Stats Maths With Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (-91.71%)
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 (-99%)
Mutual labels:  clustering, regression, classification
Getting Things Done With Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (-83.94%)
Tensorflow cookbook
Code for Tensorflow Machine Learning Cookbook
Stars: ✭ 5,984 (+30.26%)
The Deep Learning With Keras Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Stars: ✭ 34 (-99.26%)
H1st
The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Stars: ✭ 697 (-84.83%)
Kaggle Competitions
There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (-98.13%)
Machine-Learning-Specialization
Project work and Assignments for Machine learning specialization course on Coursera by University of washington
Stars: ✭ 27 (-99.41%)
Mutual labels:  clustering, regression, classification
Deep Learning Boot Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
Stars: ✭ 1,270 (-72.36%)
Mutual labels:  jupyter-notebook, data-science, gpu
Codesearchnet
Datasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (-70%)
Mutual labels:  jupyter-notebook, data-science, ml
Atlas
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
Stars: ✭ 259 (-94.36%)
Mutual labels:  data-science, gpu, ml
Machine learning code
机器学习与深度学习算法示例
Stars: ✭ 88 (-98.08%)
Phormatics
Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-98.28%)
Machine Learning Concepts
Machine Learning Concepts with Concepts
Stars: ✭ 134 (-97.08%)
Mutual labels:  jupyter-notebook, ml, regression
Hyperlearn
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (-73.79%)
Mutual labels:  jupyter-notebook, data-science, gpu
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (-67%)
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (-59.34%)
100daysofmlcode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-96.82%)
Data Science Portfolio
A Portfolio of my Data Science Projects
Stars: ✭ 149 (-96.76%)
Ml Workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (-49.13%)
Mutual labels:  jupyter-notebook, data-science, gpu
Scipy con 2019
Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-96.91%)
Datasciencevm
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (-96.67%)
Mutual labels:  jupyter-notebook, data-science, ml
2018 Machinelearning Lectures Esa
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Stars: ✭ 280 (-93.91%)
Mlbox
MLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (-73.9%)
Andrew Ng Notes
This is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-96.08%)
Mutual labels:  jupyter-notebook, data-science, ml
Sru Deeplearning Workshop
دوره 12 ساعته یادگیری عمیق با چارچوب Keras
Stars: ✭ 66 (-98.56%)
Nlpaug
Data augmentation for NLP
Stars: ✭ 2,761 (-39.9%)
Mutual labels:  jupyter-notebook, data-science, ml
1-60 of 8352 similar projects