Machinelearning

ML-For-BeginnersJupyter Notebook

A 12-week, 26-lesson curriculum teaching classic machine learning using Scikit-learn through hands-on projects and quizzes.

NetronJavaScript

A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.

homemade-machine-learningJupyter Notebook

Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.

Machine-Learning-Tutorials

A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.

awesome-Machine Learning & Deep Learning Tutorials

A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.

LudwigPython

A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.

LudwigPython

A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.

NSFWJS - Indecent Content CheckerTypeScript

A JavaScript library for client-side NSFW image detection using TensorFlow.js.

vaexPython

A high-performance Python DataFrame library for lazy out-of-core processing and visualization of billion-row datasets at interactive speeds.

ClearMLPython

An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.

TensorWatchJupyter Notebook

A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.

tslearnPython

A Python machine learning toolkit for time series analysis with scikit-learn compatible API.

Awesome Anomaly Detection

A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.