Showing 17 of 17 projects
A deep learning tool for upscaling and denoising anime-style images and photos using convolutional neural networks.
Implementations of memory-augmented neural networks for language modeling, dialogue systems, and question answering tasks.
A Recurrent Neural Network library for Torch7's nn, providing RNN, LSTM, GRU, and other sequence modeling modules.
A convolutional network-based image classifier and feature extractor trained on ImageNet, providing dense feature extraction capabilities.
Convert Torch7 neural network models to Apple CoreML format for deployment on iOS/macOS devices.
A CUDA backend for Torch7 that enables GPU-accelerated tensor operations with a familiar Torch API.
A deep learning library for streamlining research and development using Torch7 with object-oriented design patterns.
A Torch7 package providing extended neural network modules, criterions, and utilities for deep learning research.
A Torch7 package for manifold learning and dimensionality reduction, including LLE and t-SNE embeddings.
Tutorial materials for the 2012 IPAM Graduate Summer School on Deep Learning and Feature Learning using Theano and Torch.
A browser-based graphics server that renders HTML resources generated by Torch7 or other clients, enabling remote visualization.
An experimental extension to Torch7's nn package, providing unproven neural network modules and optimizations.
A Torch package providing unsupervised learning modules and algorithms like autoencoders, PCA, and k-means.
A signal processing toolbox for Torch 7 providing Fourier transforms, spectrograms, and other signal analysis functions.
Torch7 library providing SVM implementations including SGD-based methods and LIBLINEAR wrapper.
A collection of demos and tutorials for learning Torch7, a scientific computing framework with deep learning support.
A collection of easy-to-use machine learning datasets for Torch7 with built-in preprocessing and sampling utilities.
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