Autoencoder
Showing 10 of 10 projects
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.
A Java deep learning framework implementing neural networks with GPU acceleration via OpenCL and Aparapi.
An open-source library providing chest X-ray datasets, pre-trained models, and tools for medical imaging research and analysis.
A PyTorch library for creating and training autoencoders on sequential data (time series, videos, etc.) in just two lines of code.
A real-time RGB-based pipeline for object detection and 6D pose estimation using a denoising autoencoder trained on simulated 3D views.
A Torch package providing unsupervised learning modules and algorithms like autoencoders, PCA, and k-means.
Interactive visual pattern search and exploration tool for epigenomic data using unsupervised deep representation learning.
A Python module for creating convolutional autoencoders to model background error covariance in variational data assimilation.
A collection of classical machine learning models implemented with TensorFlow 2 and Keras, featuring TensorBoard visualizations.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.