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Amsee's Projects

imgaug icon imgaug

Image augmentation for machine learning experiments.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

kinetics-i3d icon kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

kornia icon kornia

Open Source Differentiable Computer Vision Library for PyTorch

labelimg icon labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme icon labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

leetcode-1 icon leetcode-1

😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解

leetcodetop icon leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥 推荐刷题网站:https://www.lintcode.com/?utm_source=tf-github-codetop

legomicroscope icon legomicroscope

To learn about optics and microscopy, we generated a simple to build lego microscope that does not need precision optics and 3D printed parts.

lrslibrary icon lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lsotb-tir icon lsotb-tir

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark (ACM MM2020)

markdownediting icon markdownediting

Powerful Markdown package for Sublime Text with better syntax understanding and good color schemes.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

models icon models

Models and examples built with TensorFlow

mxboard icon mxboard

Logging MXNet data for visualization in TensorBoard.

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