cuML - RAPIDS Machine Learning Library
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Updated
Jun 12, 2024 - C++
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.
cuML - RAPIDS Machine Learning Library
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.
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.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
oneAPI Data Analytics Library (oneDAL)
Univariate Time-Series Anomaly Detection algorithms from TSB-UAD
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.
Plant Disease detection and management system
A broad, easy and fast framework for machine/deep learning in Go.
Implementation of standard DSA and Competitive problems
Implementations of essential machine learning algorithms from scratch
Unofficial implementation of the Adan optimizer with Schedule-Free
The Machine Learning Module
Use KNN algorithm in machine learning classification
Repository for my practice files and notes following Krish Naik's "100 Days of ML" YouTube playlist. This repo includes Jupyter notebooks and datasets organized by day, documenting my learning journey in machine learning.
Bringing heterogenous hardware acceleration to Kotlin machine learning
This repository consist of machine learning models which can be use for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.
ToyML: Machine Learning from Scratch