770 Open source projects that are alternatives of or similar to data-science-learning

Convert scikit-learn models and pipelines to ONNX

Feature engineering package with sklearn like functionality

Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

Use AI to generate a optimized stock portfolio

Library for Semi-Automated Data Science

A python library to build Model Trees with Linear Models at the leaves.

Kaggle "Microsoft Malware Classification Challenge". 6th place solution

Questions, Help, and Issues for Comet ML

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Soccer Matches Predictor using Machine Learning

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。

Framework of vectorized and distributed data analytics

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Data Science with Python

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

ICDSS Machine Learning Workshop Series: Linear Models

🤓🔮🔬 Emoji prediction from a text using machine learning

This repositories contain various Machine Learning examples done with Python.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

A library for performing hyperparameter optimization

CNN histopathologic tumor identifier.

关注AI模型上线、模型部署

Machine Learning Tutorials in Python

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

핸즈온 머신러닝 2/E의 주피터 노트북

Scikit-learn compatible estimation of general graphical models

explainy is a Python library for generating machine learning model explanations for humans

Source code for the ACL workshop paper and Kaggle competition by Google AI team

Text processing library for sentiment analysis and related tasks

An intuitive library to add plotting functionality to scikit-learn objects.

My workshop on machine learning using python language to implement different algorithms

6th place solution

Object detector from HOG + Linear SVM framework

XAI Tutorial for the Explainable AI track in the ALPS winter school 2021

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

به فارسی، برای مشارکت scikit-learn

Create SSH tunel to a running colab notebook

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

pymc-learn: Practical probabilistic machine learning in Python

Material for the MASH course on introduction to scikit-learn

Run Minecraft Server on Google Colab.

Fast Best-Subset Selection Library

scikit-learn compatible implementation of stability selection.

Aircraft engine failure prediction model

A Streamlit application to play with machine learning models directly from the browser

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

This project will pull past game data from api-football, and use these statistics to predict the outcome of future premier league matches through machine learning.

No description or website provided.

Kaggle | 14th place solution for TGS Salt Identification Challenge

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…

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Start writing machine learning code in just 10 hours

Public reusable components for Polyaxon

Introduction to Statistical Learning with R을 Python으로

A collection of Machine Learning algorithms written from sctrach.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Part of Google IT Automation with Python Professional Certificate. Solutions of Practice Quiz and Module Graded Assessments