machine-learning

:bookmark_tabs: Online machine learning resources

Kaggle datascience bowl 2017

Well tested & Multi-language evaluation framework for text summarization.

Build fully-functioning computer vision models with PyTorch

A resource repository for machine unlearning in large language models

A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Medical image processing in Python

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises

Cursos completos de IA dictados por Humai

Data mining for materials science

DiffSharp: Differentiable Functional Programming

Image Acquisition Library for GenICam-based Machine Vision System

Computer vision based ML training data generation tool :rocket:

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user

Python library for analysing faces using PyTorch

Tools for understanding how transformer predictions are built layer-by-layer

Learn Machine Learning with Amazon ML Summer School Program 2026. Access session summaries, previous year MCQs, programming questions, and official test material. Practice module-wise coding tasks and build a strong foundation for interviews and real-world applications.

RDNA-native LLM inference engine in Rust.

Sharing Updatable Models (SUM) on Blockchain

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

FastAPI Skeleton App to serve machine learning models production-ready.

臺灣大學 (NTU) 李宏毅教授「機器學習 (Machine Learning) 2021 Spring 」課程筆記

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Docs of the Hugging Face Hub

NLP Zero to Hero in just 10 Kernels

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)