Trending repositories for topic machine-learning-algorithms
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
Minimal and clean examples of machine learning algorithms implementations
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A complete daily plan for studying to become a machine learning engineer.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
A resource for learning about Machine learning & Deep Learning
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
A high performance implementation of HDBSCAN clustering.
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
Minimal and clean examples of machine learning algorithms implementations
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A resource for learning about Machine learning & Deep Learning
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
A list of popular deep learning models related to classification, segmentation and detection problems
A curated list of applied machine learning and data science notebooks and libraries across different industries.
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet sti...
A high performance implementation of HDBSCAN clustering.
A complete daily plan for studying to become a machine learning engineer.
Minimal and clean examples of machine learning algorithms implementations
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
A resource for learning about Machine learning & Deep Learning
A complete daily plan for studying to become a machine learning engineer.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Plain python implementations of basic machine learning algorithms
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
A high performance implementation of HDBSCAN clustering.
The "Python Machine Learning (1st edition)" book code repository and info resource
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Ma...
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
Minimal and clean examples of machine learning algorithms implementations
Real-time explainable machine learning for business optimisation
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-mean...
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
An open source library for the GPU-implementation of L-BFGS-B algorithm
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A resource for learning about Machine learning & Deep Learning
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Minimal and clean examples of machine learning algorithms implementations
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
A resource for learning about Machine learning & Deep Learning
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A complete daily plan for studying to become a machine learning engineer.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
The machine learning toolkit for time series analysis in Python
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
The Hitchhiker's Guide to Machine Learning Algorithms: A book of machine learning algorithms & concepts explained to simply, even a human can understand.
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-mean...
Final Year Project Diseases Prediction System through Machine Learning. Disease Prediction system with code and documents
Time Series Analysis and Forecasting in Python
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
A React, Flask and Machine Learning based web application for Crop and Fertilizer Recommendation
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
AlgoPlus is a C++17 library for complex data structures and algorithms
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Buy Now is an e-commerce app. In this app I use Machine Learning Algorithm for users can search visually. Users upload or take a photo, and this Algorithm will search for a similar product.
Starting a 100 Days Code Challenge for Learning Data Science from Scratch
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
AlgoPlus is a C++17 library for complex data structures and algorithms
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
EDUX is a developer friendly Java library for machine learning educational tasks
A high performance implementation of Reciprocal Agglomerative Clustering in C++
The Hitchhiker's Guide to Machine Learning Algorithms: A book of machine learning algorithms & concepts explained to simply, even a human can understand.
Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
A resource for learning about Machine learning & Deep Learning
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Minimal and clean examples of machine learning algorithms implementations
A complete daily plan for studying to become a machine learning engineer.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
The machine learning toolkit for time series analysis in Python
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Starting a 100 Days Code Challenge for Learning Data Science from Scratch
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
The Hitchhiker's Guide to Machine Learning Algorithms: A book of machine learning algorithms & concepts explained to simply, even a human can understand.
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
A high performance implementation of Reciprocal Agglomerative Clustering in C++
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Time Series Analysis and Forecasting in Python
IBM Data Science Professional Certificate
Successfully developed a machine learning model which can predict whether an online review is fraudulent or not. The main idea used to detect the fake nature of reviews is that the review should be co...
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) m...