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coastline2018's Projects

papers icon papers

Summaries of machine learning papers

pix2pix icon pix2pix

Image-to-image translation with conditional adversarial nets

pointcnn icon pointcnn

CNN generalized for consuming point cloud data

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2 icon pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pwc icon pwc

Papers with code. Sorted by stars. Updated weekly.

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

r-cnn icon r-cnn

My implementation of RCNN for the Flower Dates

sact icon sact

Spatially Adaptive Computation Time for Residual Networks

stanford_dl_ex icon stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

tensorflow icon tensorflow

使用谷歌开源的TensorFlow进行一系列的训练实践

tensorflow-1 icon tensorflow-1

Computation using data flow graphs for scalable machine learning

theano-tutorials icon theano-tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

ucasthesis icon ucasthesis

[最新样式] **科学院大学学位论文 LaTeX 模板 LaTeX Thesis Template for the University of Chinese Academy of Sciences

unet icon unet

A demo of Unet to detect edges!

vision-transformer icon vision-transformer

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

vision_transformer_keras icon vision_transformer_keras

Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

vit icon vit

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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