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creatorcen's Projects

iccv2019 icon iccv2019

ICCV 2019 papers/new汇总帖,极市团队整理

image-detect icon image-detect

通过opencv识别出两张图片不同部分。俗称大家一起来找茬

industrial_defect_detection icon industrial_defect_detection

本项目用深度学习的方法进行工业产品缺陷检测,替代原本人眼的产品质检。从而大幅提升工业产品合格率和降低人力成本。

kair icon kair

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

leela-zero icon leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

lightnet icon lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

lstm-attention icon lstm-attention

Attention-based bidirectional LSTM for Classification Task (ICASSP)

medicaldetectiontoolkit icon medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

memae icon memae

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)

memae-anomaly-detection icon memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

mfpnet icon mfpnet

PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"

minimalrl icon minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

ml-stock-prediction icon ml-stock-prediction

A toolset for stock prediction using reinforced learning, including a custom OpenAI environment.

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