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followers: 1.0 following: 6.0 repos: 73.0 gists: 0.0

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jasonfinisher123's Projects

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

augmentor

Image augmentation library in Python for machine learning.

automl

Google Brain AutoML

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

bnn

Bayesian Neural Network in PyTorch

cascade-rcnn

Tensorflow 1.14 implementation of Cascade-RCNN, support GN, CARAFE, Deformable Conv

cascadepsp

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

cbam-keras

CBAM implementation on Keras

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

centernet

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

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

defectnet

DefectNet: Towards Fast and Effective Defect Detection

deformable-convnets

Deformable Convolutional Networks

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

dla

Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"

efficientnet-pytorch

A PyTorch implementation of EfficientNet

efficientunet-pytorch

A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

grok-1

Grok open release

histogram_equalization

Some histogram equalization methods to enhance image contrast, including AHE and CLAHE.

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919