Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Funding opportunities for graduate studies in Machine Learning and AI for Master's and PhD programs

Open Machine Learning

Machine Learning Course, Sharif University of Technology

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Identify bias and measure fairness of your data

Scapy: the Python-based interactive packet manipulation program & library.

CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Bias Auditing & Fair ML Toolkit

Driving

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Datasets used in Plotly examples and documentation

Code for "Beyond Individual Input for Deep Anomaly Detection on Tabular Data"

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

What's in your data? Extract schema, statistics and entities from datasets

Deep learning-based outlier/anomaly detection

A Python Library for Graph Outlier Detection (Anomaly Detection)

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries