6517 Open source projects that are alternatives of or similar to Pqkmeans

Introduction to Statistical Learning with R을 Python으로

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Predicting Forex Future Price with Machine Learning

A high performance implementation of HDBSCAN clustering.

📚 Various cheatsheets in PDF

Machine Learning Tutorials in Python

🍊 📊 💡 Orange: Interactive data analysis

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

How to do Unsupervised Clustering with Keras

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

📓 deepleaning and cv notes.

An Interactive Approach to Understanding Deep Learning with Keras

A python package to assess cluster tendency

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

This repository is a recommended track, designed to get started with Machine Learning.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Python package for Bayesian Machine Learning with scikit-learn API

My blogs and code for machine learning. http://cnblogs.com/pinard

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

a sklearn wrapper for Google's BERT model

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

Code for polyaxon tutorials and examples

A Julia machine learning framework

A collection of notebooks of my Machine Learning class written in python 3

notebooks with example for machine learning examples

Implementation of different techniques to find insights from the satellite data using Python.

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

Alpine Container for Machine Learning

Python机器学习，机器学习入门首选。

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

A news recommendation system tailored for user communities

The "Python Machine Learning (3rd edition)" book code repository

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Discover augmentation strategies tailored for your dataset

Protein Graph Library

Tensorflow's Fairness Evaluation and Visualization Toolkit

A curated list of awesome Jupyter projects, libraries and resources

Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.

an numpy-based implement of PointRend

Code and instructions for making topographic maps of planets and moons

DS4C: Data Science for COVID-19 in South Korea

A very lightweight Python wrapper to the Philips Hue API

Practical Time-Series Analysis, published by Packt

A stable algorithm for GAN training

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

Experiments, algorithms and reports in machine learning reseach.

基于Tensorflow2的深度学习开源书籍

Code for Siraj Raval's Coding Challenges!

Jupyter Notebooks with Deep Learning Tutorials

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

Productivity Tools for Plotly + Pandas

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras