Pinned Repositories
BlockConv
[TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
CNN-Inference-Engine-Quick-View
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
DGNet
Dynamic Dual Gating Neural Networks, ICCV 2021
Gated-LIF
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster
K-Nearest-Neighbors-Hashing
Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)
Label-free-Network-Compression
Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).
OISR-PyTorch
PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)
Optimal-Ternary-Weights-Approximation
Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).
quantized-cnn
An efficient framework for convolutional neural networks
Training-Tricks-for-Binarized-Neural-Networks
The collection of training tricks of binarized neural networks.
CAS CLab's Repositories
CAS-CLab/quantized-cnn
An efficient framework for convolutional neural networks
CAS-CLab/CNN-Inference-Engine-Quick-View
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
CAS-CLab/OISR-PyTorch
PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)
CAS-CLab/Training-Tricks-for-Binarized-Neural-Networks
The collection of training tricks of binarized neural networks.
CAS-CLab/Gated-LIF
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster
CAS-CLab/DGNet
Dynamic Dual Gating Neural Networks, ICCV 2021
CAS-CLab/K-Nearest-Neighbors-Hashing
Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)
CAS-CLab/BlockConv
[TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
CAS-CLab/Optimal-Ternary-Weights-Approximation
Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).
CAS-CLab/EBERT
[ACL 2021 Findings] EBERT: Efficient BERT Inference with Dynamic Structured Pruning
CAS-CLab/Label-free-Network-Compression
Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).