-
in3D_io
- Tel Aviv
- https://dmitryulyanov.github.io/about
- @DmitryUlyanovML
- in/dulyanov
Stars
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Image-to-image translation with conditional adversarial nets
Facebook AI Research Sequence-to-Sequence Toolkit
Open Source Neural Machine Translation in Torch (deprecated)
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
A torch implementation of http://arxiv.org/abs/1511.06434
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
3.8% and 18.3% on CIFAR-10 and CIFAR-100
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
ImageNet classification using binary Convolutional Neural Networks
End-to-end deep learning image-similarity search engine
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Generating Videos with Scene Dynamics. NIPS 2016.
Light your way in Deep Learning with Torch 🔦
CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
Autograd automatically differentiates native Torch code
Deep Networks with Stochastic Depth
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016
code for "Fast Patch-based Style Transfer of Arbitrary Style".
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)