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996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

augmentor

Image augmentation library in Python for machine learning.

buaathesis

北航研究生学位论文模板（Word+LaTeX）.

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

context_aug

Context-driven data augmentation for Object Detection (ECCV'18)

decision-tree

A decision tree classifer based on entropy (Artificial Intelligence)

deephisto

Deep Learning applied to Digital Pathology - PhD Thesis code base

example-code

Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

gen_new_kitti

jianghan0213.github.io

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

neubias_academy_stardist

openselfsup

Self-Supervised Learning Toolbox and Benchmark

otrangan.github.io

Vertex pi-floodlight

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-byol

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

qupath_scripts

seattlebike

Understanding Seattle Bike Count data

sess

Implementation of " SESS: Self-Ensembling Semi-Supervised 3D Object Detection" (CVPR2020 Oral)

smoke

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

stardist

StarDist - Object Detection with Star-convex Shapes