Trending repositories for topic machine-learning-algorithms
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
🤖 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
A resource for learning about Machine learning & Deep Learning
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/
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
A complete daily plan for studying to become a machine learning engineer.
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
The machine learning toolkit for time series analysis in Python
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
EasyTPP: Towards Open Benchmarking Temporal Point Processes
A high performance implementation of HDBSCAN clustering.
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
Crispy is a machine-learning platform to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames
EasyTPP: Towards Open Benchmarking Temporal Point Processes
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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 set of Python scripts to evaluate the Automotive Datasets provided by Prophesee
AlgoPlus is a C++17 library for complex data structures and algorithms
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
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
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
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/
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A resource for learning about Machine learning & Deep Learning
A complete daily plan for studying to become a machine learning engineer.
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/
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
The deployment of the different NN algorithm on the WTM2101, this tutorial covers the entire process of deploying the nn algorithm on the WTM2101 chip, including CIM Chip, mnist data , mapper, project...
Crispy is a machine-learning platform to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
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...
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
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
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
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.
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Matbench: Benchmarks for materials science property prediction
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
Identification of corn leaf diseases using machine learning technology - Identifikasi jenis Penyakit Tanaman pada Daun Jagung Menggunakan Teknologi Machine Learning
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
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.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A resource for learning about Machine learning & Deep Learning
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 complete daily plan for studying to become a machine learning engineer.
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
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
The deployment of the different NN algorithm on the WTM2101, this tutorial covers the entire process of deploying the nn algorithm on the WTM2101 chip, including CIM Chip, mnist data , mapper, project...
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
The deployment of the different NN algorithm on the WTM2101, this tutorial covers the entire process of deploying the nn algorithm on the WTM2101 chip, including CIM Chip, mnist data , mapper, project...
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accur...
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
In this repository you are just write about machine learning algorithms, code(if necessary)
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
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...
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engine...
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...
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
Matbench: Benchmarks for materials science property prediction
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 repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
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
EasyTPP: Towards Open Benchmarking Temporal Point Processes
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
AlgoPlus is a C++17 library for complex data structures and algorithms
The deployment of the different NN algorithm on the WTM2101, this tutorial covers the entire process of deploying the nn algorithm on the WTM2101 chip, including CIM Chip, mnist data , mapper, project...
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
LLM steganography with minimum-entropy coupling - Hiding encrypted messages in natural language.
ChatGPT This repository features a diverse set of resources covering essential topics in machine learning and data analysis. From understanding and visualizing confusion matrices to exploring feature...
An extensive collection of data and artificial intelligence (AI) notebook templates, curated to encompass models, analytics, code snippets, and a variety of resources. ~ Team ML Nagpur
Identification of corn leaf diseases using machine learning technology - Identifikasi jenis Penyakit Tanaman pada Daun Jagung Menggunakan Teknologi Machine Learning
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
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.
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.
A resource for learning about Machine learning & Deep Learning
Minimal and clean examples of machine learning algorithms implementations
🤖 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
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.
I am Duncan, a cofounder at RoZero Labs. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelli...
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
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
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
LLM steganography with minimum-entropy coupling - Hiding encrypted messages in natural language.
Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accur...
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
In this repository you are just write about machine learning algorithms, code(if necessary)
Time Series Analysis and Forecasting in Python
Real-time explainable machine learning for business optimisation
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engine...
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
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...
Contains all course modules, exercises and notes of Deep Learning Specialization by Andrew Ng, and DeepLearning.ai in Coursera
基于pytorch框架，针对文本分类的机器学习项目，集成多种算法(xgboost, lstm, bert, mezha等等)，提供基础数据集，开箱即用，方便自己二次拓展，持续更新
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.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.