flygyyy's Stars
gpleiss/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
shicai/DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
shicai/MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
yiwenguo/Dynamic-Network-Surgery
Caffe implementation for dynamic network surgery.
irapha/replayed_distillation
Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)
a7b23/Distilling-the-knowledge-in-neural-network
Teaches a student network from the knowledge obtained via training of a larger teacher network
may0324/DeepCompression-caffe
Caffe for Deep Compression
caicloud/tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
kimhc6028/soft-decision-tree
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
chengshengchan/model_compression
Implementation of model compression with knowledge distilling method.
pytorch/extension-ffi
Examples of C extensions for PyTorch
jack-willturner/deep-compression
Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
meijieru/crnn.pytorch
Convolutional recurrent network in pytorch
KarenUllrich/Tutorial_BayesianCompressionForDL
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
hunkim/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
jacobgil/pytorch-pruning
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Zehaos/MobileNet
MobileNet build with Tensorflow
BichenWuUCB/squeezeDet
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
wentianli/knowledge_distillation_caffe
KnowledgeDistillation Layer (Caffe implementation)
ethanhe42/channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
szagoruyko/attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
fpeder/espresso
Efficient forward propagation for BCNNs
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensorpack/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility