Light your way in Deep Learning with Torch 🔦

natural image generation using ConvNets

Autograd automatically differentiates native Torch code

Deep Networks with Stochastic Depth

gvnn: Geometric Vision with Neural Networks

Torch-7 FFI bindings for NVIDIA CuDNN

an imagenet example in torch.

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

Learning What and Where to Draw

Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"

Graph Computation for nn

2.86% and 15.85% on CIFAR-10 and CIFAR-100

Spatio-temporal video autoencoder with convolutional LSTMs

Decoupled Weight Decay Regularization (ICLR 2019)

OptNet - Reducing memory usage in torch neural nets

Torch-twrl is a package that enables reinforcement learning in Torch.

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

This is the project for LS-GAN (Loss-Sensitive GAN)

The Deep Convolutional Inverse Graphics Network

This library provides utilities for creating and manipulating RNNs to model sequential data.

A Compositional Object-Based Approach to Learning Physical Dynamics

Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.

Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

DeepWarp for Facial Expression Manipulation

Torch Implementation of NIPS'16 paper: Perspective Transformer Nets

Code for the paper "Self-Supervised Intrinsic Image Decomposition"

A package to manipulate manifolds.