Machine-Learning with python (jupyter)

Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also

2.6k Jan 03, 2023

A simple example of ML classification, cross validation, and visualization of feature importances

Simple-Classifier This is a basic example of how to use several different libraries for classification and ensembling, mostly with sklearn. Example as

2 Aug 25, 2022

Painless Machine Learning for python based on scikit-learn

PlainML Painless Machine Learning Library for python based on scikit-learn. Install pip install plainml Example from plainml import KnnModel, load_ir

1 Aug 06, 2022

Transform ML models into a native code with zero dependencies

m2cgen (Model 2 Code Generator) - is a lightweight library which provides an easy way to transpile trained statistical models into a native code

2.3k Jan 03, 2023

虚拟货币(BTC、ETH)炒币量化系统项目。在一版本的基础上加入了趋势判断

🎉 第二版本 🎉 （现货趋势网格）介绍在第一版本的基础上趋势判断，不在固定点位开单，选择更优的开仓点位优势： 🎉 简单易上手安全(不用将api_secret告诉他人) 如何启动修改app目录下的authorization文件

250 Jan 07, 2023

Tribuo - A Java machine learning library

Tribuo - A Java prediction library (v4.1) Tribuo is a machine learning library in Java that provides multi-class classification, regression, clusterin

1.1k Dec 28, 2022

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Uses WiFi signals and machine learning (sklearn's RandomForest) to predict where you are. Even works for small distances like 2-10 meters.

5k Jan 09, 2023

Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics

4.1k Dec 29, 2022

Pydantic based mock data generation

This library offers powerful mock data generation capabilities for pydantic based models. It can also be used with other libraries that use pydantic as a foundation, for example SQLModel, Beanie and

396 Dec 28, 2022

pandas, scikit-learn, xgboost and seaborn integration

pandas, scikit-learn and xgboost integration.

299 Dec 30, 2022

The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.

MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid

25 Nov 27, 2022

Automatically create Faiss knn indices with the most optimal similarity search parameters.

It selects the best indexing parameters to achieve the highest recalls given memory and query speed constraints.

419 Jan 01, 2023

MegFlow - Efficient ML solutions for long-tailed demands.

Efficient ML solutions for long-tailed demands.

371 Dec 21, 2022

This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

Crypto-Currency-Predictor This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you

6 Dec 04, 2022

Simulate & classify transient absorption spectroscopy (TAS) spectral features for bulk semiconducting materials (Post-DFT)

PyTASER PyTASER is a Python (3.9+) library and set of command-line tools for classifying spectral features in bulk materials, post-DFT. The goal of th

4 Dec 27, 2022

Case studies with Bayesian methods

8 Nov 26, 2022

Machine-Learning with python (jupyter)

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Machine-Learning with python (jupyter)

들어가기전

머신 러닝 1

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ETC

Owner

HyeonWoo Jeong

A chain of stores, 10 different stores and 50 different requests a 3-month demand forecast for its product.

Python Machine Learning Jupyter Notebooks (ML website)

A simple example of ML classification, cross validation, and visualization of feature importances

Painless Machine Learning for python based on scikit-learn

Transform ML models into a native code with zero dependencies

虚拟货币(BTC、ETH)炒币量化系统项目。在一版本的基础上加入了趋势判断

Tribuo - A Java machine learning library

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.

Pydantic based mock data generation

pandas, scikit-learn, xgboost and seaborn integration

The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.

Automatically create Faiss knn indices with the most optimal similarity search parameters.

MegFlow - Efficient ML solutions for long-tailed demands.

This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

All-in-one web-based development environment for machine learning

Machine Learning Course with Python:

A modular active learning framework for Python

Simulate & classify transient absorption spectroscopy (TAS) spectral features for bulk semiconducting materials (Post-DFT)

Case studies with Bayesian methods