szagoruyko/functional-zoo
PyTorch and Tensorflow functional model definitions
AI Researcher, ex-Facebook, ex-Lyft
Repositories
szagoruyko/attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
szagoruyko/pytorchviz
A small package to create visualizations of PyTorch execution graphs
szagoruyko/wide-residual-networks
3.8% and 18.3% on CIFAR-10 and CIFAR-100
szagoruyko/cvpr15deepcompare
Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"
szagoruyko/neural-style-autograd
autograd version of https://github.com/jcjohnson/neural-style
szagoruyko/loadcaffe
Load Caffe networks in Torch7
szagoruyko/diracnets
Training Very Deep Neural Networks Without Skip-Connections
szagoruyko/cifar.torch
92.45% on CIFAR-10 in Torch
szagoruyko/torch-opencv-demos
Torch7+OpenCV+ConvNets
szagoruyko/fastrcnn-models.torch
Fast-RCNN models in Torch-7 format
szagoruyko/szagoruyko.github.io
szagoruyko/tnt
an abstraction to train neural networks
szagoruyko/pyinn
CuPy fused PyTorch neural networks ops
szagoruyko/nnpack.torch
Torch FFI-bindings for NNPACK
szagoruyko/binary-wide-resnet
PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
szagoruyko/functional-style-transfer
minimal implementation of style transfer
szagoruyko/hub
szagoruyko/torch-caffe-binding
Use Caffe in Torch7
szagoruyko/imagenet-validation.torch
Fast and easy testing of imagenet models
szagoruyko/idiap-tutorials
szagoruyko/cunnproduction
easy embeddable Torch7 networks
szagoruyko/openai-gemm.pytorch
PyTorch bindings for openai-gemm
szagoruyko/iterm.torch
Display images directly in iTerm2
szagoruyko/imagine-nn
IMAGINE torch neural network routines
szagoruyko/clipp.torch
Torch interface to OpenCLIPP
szagoruyko/cutorch-rtc
lua apply function for cutorch
szagoruyko/torch-autograd
Autograd automatically differentiates native Torch code
szagoruyko/examples
szagoruyko/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration