Pinned Repositories
2019_jinnan2_x-ray-detection
2019_jinnan2_x-ray-detection
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
algorithm
「面试算法练级攻略」 - 「LeetCode题解」 - 「剑指offer题解」
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
APTOS2019
43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection
BELLE
BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
Camelyon17
Camelyon17 (Breast Tumor Classification)
optical-flow-for-weather-forecast
Weather Radar Echo Forecast using opencv+GPU，it can real-time operation and half an hour is reliable.
WeatherRadarEchoClassfication
WeatherRadarScanSimulation
lelegogo26's Repositories
lelegogo26/WeatherRadarEchoClassfication
lelegogo26/WeatherRadarScanSimulation
lelegogo26/Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
lelegogo26/APTOS2019
43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection
lelegogo26/CameraSR
Camera Lens Super-Resolution in CVPR 2019
lelegogo26/cs231n.github.io
Public facing notes page
lelegogo26/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
lelegogo26/Datacon2019-Malicious-Code-DataSet-Stage1
lelegogo26/detectron2_instance_segmentation_demo
How to train Detectron2 with Custom COCO Datasets | DLology
lelegogo26/Doctor
基于知识图谱的医学诊断系统。Medical Diagnosis System Based on Knowledge Map.
lelegogo26/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
lelegogo26/exercise
exercise for nndl
lelegogo26/keras-retinanet
Keras implementation of RetinaNet object detection.
lelegogo26/KnowledgeGraphData
史上最大规模1.4亿中文知识图谱开源下载
lelegogo26/Low-Dose-CT-denoising
Code and papers for Low-Dose CT denoising
lelegogo26/Machine-Learning-Notes
周志华《机器学习》手推笔记
lelegogo26/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
lelegogo26/medical-data
lelegogo26/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.
lelegogo26/MICCAI-LITS2017
liver and liver tumor segmentation using deep learning
lelegogo26/NCRF
Cancer metastasis detection with neural conditional random field (NCRF)
lelegogo26/netron
Visualizer for neural network, deep learning and machine learning models
lelegogo26/open-solution-ship-detection
Open solution to the Airbus Ship Detection Challenge
lelegogo26/pneumothorax-segmentation
SIIM-ACR Pneumothorax Segmentation first place solution
lelegogo26/prepare_detection_dataset
convert dataset to coco/voc format
lelegogo26/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
lelegogo26/Pytorch-Human-Pose-Estimation
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
lelegogo26/Recursive-Cascaded-Networks
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
lelegogo26/TecoGAN
This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN
lelegogo26/TensorflowEngineering