A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
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Updated
May 24, 2024 - Python
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Machine Learning library using what I learned from CS4780, using NumPy only. It supports Bayesian inference, kernelization, ensembles, deep learning, convolutional NN, and Transformers.
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
This repo contains examples of how to use Simulink simulation to perform simulation-based inference calculations in Python
精选机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理。算法大牛笔记汇总
AI Exercises With Notebooks
CSDLO6021: Machine Learning [ML] <Semester VI>
Machine learning codes for the course "Basics of Mathematics in Machine Learning I" given in January-March 2021 at University of Helsinki, Finland.
A curated list of learning plans, books, free resources, talk, research papers, datasets, and list of conferences for machine learning.
A curated list of awesome Deep Learning tutorials, projects and communities.
Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions
Making cancer classification with knn module (Kaggle Expression)
This Python code represents a machine learning project that builds a simple linear regression model using experience and salary data. It plots the data, constructs the regression model, and visualizes the results.
Welcome to the Machine Learning Tutorials repository! This repository contains tutorials and code examples for various machine learning algorithms implemented in Python.
Discover a compilation of essential machine-learning topics in this section. I've curated various subjects covering the spectrum of machine learning, from foundational concepts to advanced techniques. To aid your knowledge, I've crafted handwritten notes and a supplemental document that provides insights, explanations, visual aids for every topics.
🧙 A web app to generate template code for machine learning
This is a starting point for my ( and can be yours ) Machine Learning journey, This Repo consist all the Prerequisites and Resource Links you need to master ML
We fit a one-input, one-output function with a simple neural network model.
Tutorial: Automate DVC experiments helps to automate your Machine Learning experiments, manage metrics, reports and models versions
🧠🤖 Want to learn how to build neural networks from scratch? Follow along and create your own machine learning library.
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