XinzheGeng

XinzheGeng's Stars

• MingSun-Tse/Efficient-Deep-Learning

  Collection of recent methods on (deep) neural network compression and acceleration.

  937132

• kaijieshi7/awesome-dynamic-convolution

  Dynamic convolution Paper collection.

  1037

• kaijieshi7/Dynamic-convolution-Pytorch

  Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

  Language:Python56190

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k478

• SUST-reynole/DefED-Net

  Upcoming: DefED-Net: Deformable Encoder-Decoder Network for Liver and Liver-Tumor Segmentation

  Language:Python204

• pancerZH/PCA_with_mnist

  使用PCA和2DPCA对mnist中的数据进行降维

  Language:Python304

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.7k2.6k

• megvii-research/ML-GCN

  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

  Language:Python1.4k350

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k3.3k

• gaopu/Java

  一些用Java写的小东西（没什么用，大家不要star了😄）

  Language:Java1.7k780