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Torch implementation of neural style algorithm
Face recognition with deep neural networks.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Image-to-image translation with conditional adversarial nets
🧠 💪 // Smart and powerful comment plugin for neovim. Supports treesitter, dot repeat, left-right/up-down motions, hooks, and more
Torch implementation of DeepMask and SharpMask
Open Source Neural Machine Translation in Torch (deprecated)
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
3.8% and 18.3% on CIFAR-10 and CIFAR-100
Sequence-to-sequence model with LSTM encoder/decoders and attention
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
Recurrent Neural Network library for Torch7's nn
Neural Attention Model for Abstractive Summarization
Task generation for testing text understanding and reasoning
Tree-structured Long Short-Term Memory networks (https://arxiv.org/abs/1503.00075)
code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"
ImageNet classification using binary Convolutional Neural Networks
Character-level Convolutional Networks for Text Classification
natural image generation using ConvNets