ToyML: Machine Learning from Scratch
-
Updated
Jun 11, 2024 - Python
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
ToyML: Machine Learning from Scratch
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。
This is an AI-Gemini Chatbot LLM And Large Image Model Application. You can use this project run into local and ask you images like your talking with in realtime
ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.
cuML - RAPIDS Machine Learning Library
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
Univariate Time-Series Anomaly Detection algorithms from TSB-UAD
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Web app for used car price predictions
The Machine Learning Module
oneAPI Data Analytics Library (oneDAL)
Implementations of essential machine learning algorithms from scratch
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Machine Learning demo
Machine learning model with linear regression (Ridge regression) and standardscaler using sklearn module using the Algerian forest fire dataset with flask to open a webpage to add new data for prediction.