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learn_aug_for_object_detection.numpy

Learning Data Augmentation Strategies for Object Detection in numpy

libra_r-cnn

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

libtorch-yolov3-deepsort

lidc-idri-processing

Scripts for the preprocessing of LIDC-IDRI data

lightweight-segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

liver_cancer_classify

liver cancer classify model with DL(3D-Conv)大数据医疗—肝癌影像AI诊断比赛

lumbar

Spark“数字人体”AI挑战赛 ——脊柱疾病智能诊断大赛

lung-segmentation-2d

Lung fields segmentation on CXR images using convolutional neural networks.

lung_cancer_2017

lung_nodule_detector

lung nodule detector using 3d resnet using focal loss

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

match_rcnn

Tianchi New Product Laboratory - Taobao Live Product Identification 天池新品实验室 - 淘宝直播商品识别

meal-v2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

memnet

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

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

ml-arsenal-public

Full pipeline of a data science competition (public version)

mmdetection

Open MMLab Detection Toolbox

mmdetection-mini

mmdetection最小学习版

mmdetection_with_senet154

see details in configs/retinanet_se154_fpn_1x.py

mobile-yolov5-pruning-distillation

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

mobilenetv3

A Keras implementation of MobileNetV3.

mobilenetv3.pytorch

73.2% MobileNetV3-Large and 67.1% MobileNetV3-Small model on ImageNet

mobilenetv3_keras

This is a keras implementation of MobileNetV3 architecture as described in the paper "Searching for MobileNetV3"

model_search

modelfeast

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

multi-disease-intelligent-diagnosis-of-pulmonary-ct

全球数据智能大赛赛场一——肺部CT多病种智能诊断

multiresunet