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Network Slimming (Pytorch) (ICCV 2017)
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2…
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
YeQiao / SSD-Knowledge-Distillation
Forked from SsisyphusTao/Object-Detection-Knowledge-DistillationA PyTorch Implementation of Knowledge Distillation on SSD/yolov5
YeQiao / Bi-Real-net
Forked from liuzechun/Bi-Real-netBi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
YeQiao / ROCm
Forked from ROCm/ROCmROCm - Open Source Platform for HPC and Ultrascale GPU Computing
YeQiao / gemmini
Forked from ucb-bar/gemminiBerkeley's Systolic Array Generator
TinyCore Linux kernel and module compile scripts.