torch7-demos
by e-lab
Demos and tutorials around Torch7 (in progress updates from xLearn)
AI summary
Torch7 tutorials
Demos and tutorials for the Lua-based machine learning framework Torch7
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torch/demos355
Deep learning framework demos
Torch7 tutorials and demos providing hands-on experience with the deep learning framework.
Deep Learning Tutorials
Hands-on tutorials and code examples for implementing supervised and unsupervised learning algorithms in Lua using the Torch7 deep learning framework.
Segmentation model
Custom image segmentation implementation using deep learning with Lua and Torch
Graph library
A Lua-based library for graph manipulation and visualization in Torch.
Torch utility library
A collection of reusable components and utilities for building Torch-based projects
ML model library
A collection of Lua implementations of state-of-the-art machine learning models using the Torch framework.
Neural network starter
A basic package for training neural networks in Torch7, providing a simplified starting point for developers.
Image segmentation network
An implementation of a deep learning network for image segmentation tasks using Lua and the Torch7 framework.
Deep learning library
Provides a CUDA backend for the PyTorch deep learning framework
Word Embedder
An implementation of Word2Vec using Torch for learning vector representations of words from text data
Lua compiler
Builds standalone executables from Lua programs on various platforms with support for multiple interpreters and libraries.
Smoothing library
Implementations of smoothing techniques from statistical learning theory in Lua for use with the Torch 3 deep learning framework.
Torch PCL Wrapper
Bindings for integrating Point Cloud Library with the Torch programming framework.
Machine learning demos
MATLAB demo code collection for machine learning notes
Neural network toolkit
An open-source neural network package providing a modular framework for building and training neural networks.
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