kotopai

kotopai's Stars

• doonny/PipeCNN

  An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

  Language:C1.2k369

• tstandley/Xception-PyTorch

  A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions

  Language:Python24563

• skmhrk1209/QuanTorch

  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

  Language:Python528

• htqin/awesome-model-quantization

  A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

  1.7k203

• 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

• apxlwl/MobileNet-v2-pruning

  Try out different pruning-approaches on lightweight Backbones.

  Language:Python14131

• Eric-mingjie/rethinking-network-pruning

  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

  Language:Python1.5k295

• mightydeveloper/Deep-Compression-PyTorch

  PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

  Language:Python404113

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• mahyarnajibi/SNIPER

  SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

  Language:Python2.7k451

• surserrr/yolo_to_coco

  convert yolo format to coco format

  Language:Python4015

• hpi-xnor/BMXNet-v2-examples

  Examples for BMXNet v2 (https://github.com/hpi-xnor/BMXNet-v2)

  Language:Python92

• itayhubara/BinaryNet.pytorch

  Binarized Neural Network (BNN) for pytorch

  Language:Python485123

• gpleiss/efficient_densenet_pytorch

  A memory-efficient implementation of DenseNets

  Language:Python1.5k329

• MeioJane/SIXray

  The SIXray dataset

  12424

• thsant/wgisd

  Embrapa Wine Grape Instance Segmentation Dataset - Embrapa WGISD

  Language:Jupyter Notebook12040

• a1302z/OktoberfestFoodDataset

  Publication of our Oktoberfest Food Dataset for Object Detection methods

  Language:Jupyter Notebook274

• xingyizhou/CenterNet

  Object detection, 3D detection, and pose estimation using center point detection:

  Language:Python7.2k1.9k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.2k1.3k

• hpi-xnor/BMXNet-v2

  BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet

  Language:C++23033

• manishravula/yolov3_tiny_pruned

  Attempts to prune yolo v3 tiny.

  Language:C106

• YunYang1994/TensorFlow2.0-Examples

  🙄 Difficult algorithm, Simple code.

  Language:Jupyter Notebook1.7k676

• xiaohu2015/DeepLearning_tutorials

  The deeplearning algorithms implemented by tensorflow

  Language:Jupyter Notebook1.8k769

• eric612/Caffe-YOLOv3-Windows

  A windows caffe implementation of YOLO detection network

  Language:C++212128

• albanie/convnet-burden

  Memory consumption and FLOP count estimates for convnets

  Language:MATLAB914115

• Eatzhy/tiny-yolov3

  tiny—yolov3（keras）检测自己的图像，三类目标

  Language:Python18454

• PINTO0309/OpenVINO-YoloV3

  YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

  Language:Python538167

• khanh101/tiny-yolo-tensorflow

  Tiny yolov3 tensorflow

  Language:Python5613

• PengyiZhang/SlimYOLOv3

  This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

  Language:Python1.1k320

• jwchoi384/Gaussian_YOLOv3

  Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

  Language:C662180