Showing 8 of 8 projects
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.
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