Collection of recent methods on DNN compression and acceleration
IJCNN-19 "Structured Pruning for Efficient ConvNets via Incremental Regularization"; BMVC-18 "Structured probabilistic pruning for convolutional neural network acceleration"
"Good scientific writing is not a matter of life and death; it is much more serious than that."
paper collection for low-level vision
Tensorflow implementation of the FaceNet face recognizer
VDSR (CVPR2016) pytorch implementation
A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
Pruning Neural Networks with Taylor criterion in Pytorch
MNN is a lightweight deep neural network inference engine.
Network Slimming (Pytorch) (ICCV 2017)
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
Pytorch implementations of the paper "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis".
Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
Latex template for zju thesis
Pytorch implementation of convolutional neural network visualization techniques
PyTorch implementations of Generative Adversarial Networks.
Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier
Pytorch implementation for LapSRN (CVPR2017)
This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
Style transfer, deep learning, feature transform
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Channel Pruning for Accelerating Very Deep Neural Networks
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.
The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.
Caffe: a fast open framework for deep learning.
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
automatic speech recognition paper roadmap, including HMM, DNN, RNN, CNN, Seq2Seq, Attention
Reimplementation ResNet on cifar10 with caffe
End-to-end automatic speech recognition for Madarian and English in Tensorflow
Caffe implementation for dynamic network surgery.
Easy benchmarking of all publicly accessible implementations of convnets
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Caffe models in TensorFlow
Load Caffe networks in Torch7
Public facing notes page
A curated list of deep learning resources for computer vision