360 Open source projects that are alternatives of or similar to Sklearn-Nature-Inspired-Algorithms

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.

機器學習: Python

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

Algorithmic trading using machine learning.

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

Machine learning in Python with scikit-learn MOOC

Predicting Google’s stock price using regression

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Titanic assignment on Kaggle competition

DataFrame support for scikit-learn.

Machine Learning in .NET Core.

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Polyaxon Core Client & CLI to streamline MLOps

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Pedestrian Detection using Non Maximum Suppression

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Using machine learning libraries to analyze NBA data

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…

Fast Best-Subset Selection Library

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Dockerize and deploy machine learning model as REST API using Flask

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Tool for visualizing and empirically analyzing information encoded in binary files

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

Implementations of machine learning algorithm by Python 3

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。

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

🤓🔮🔬 Emoji prediction from a text using machine learning

A clustering tutorial with scikit-learn for beginners.

No description or website provided.

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

Software platform for clinical neuroimaging studies

利用Logistic回归实现信用卡欺诈检测

🦅Hyperparameter optimization for machine learning pipelines 🦅

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Tutorial on deploying machine learning models to production

Machine learning toolkits with Python

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…

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

NLP in python Vector Space Modelling and document classification NLP

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

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

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Machine Learning Operator & Controller for Kubernetes

⏱ Benchmarks of machine learning inference for Go

Tools that make working with scikit-learn and pandas easier.

PipelineAI Kubeflow Distribution

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

Aircraft engine failure prediction model

Object detector from HOG + Linear SVM framework

به فارسی، برای مشارکت scikit-learn

Material for the MASH course on introduction to scikit-learn

DoubleML - Double Machine Learning in Python

Solution of the Titanic Kaggle competition

Predict materials properties using only the composition information!