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2018 phm data challenge, ion mill machine RUL & fault diagnosis
Deep learning for time-series data
In order to create a suitable database of plant images, compromising of healthy and diseased images, we need to obtain images of plant leaves in a white background. We are using image processing segmentation algorithms to achieve this task.
Using Numpy to implement a Boston house price prediction program
A deep learning project written in PyTorch, intended as a comparison between a convolutional neural network, recurrent neural network and ConvNet + LSTM for image recognition on MNIST dataset.
Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
This is a solution intended for my interview at bowery farms
cvppp test
deep learning for image processing including classification and object-detection etc.
深度学习代码
Deep learning for plant phenotyping.
An integral project in Data Mining, mainly using Machine Learning.
A library for transfer learning by reusing parts of TensorFlow models.
Transfer learning example based on Inception-v3 image recognition neural network.
Pipeline for leaf counting through instance segmentation.
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Learning What and Where to Transfer (ICML 2019)
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Code for the paper Leveraging multiple datasets for deep leaf counting.
Detection and Regression with Convolutional Neural Networks
My friends Nikhil Vijay S, Harish Kumar Patidar and I did work on the leaf segmentation challenge, Mentored by Mr.Mohit Agarwal on an internship at Bennett University. In this project, we investigate the problem of segmenting rosette leaves from an RGB image, an important task in plant phenotyping. We propose a data-driven approach for this task generalized over different plant species and imaging setups. To accomplish this task, we use state-of- the-art deep learning architectures: UNET, a convolutional neural network for initial segmentation. Evaluation is performed on the leaf segmentation challenge dataset at CVPPP-2017. Despite the small number of training samples in this dataset, as compared to typical deep learning image sets, we obtain satisfactory performance on segmenting leaves from the background as a whole and counting the number of leaves using simple data augmentation strategies. Comparative analysis is provided against methods evaluated on the previous competition datasets.
Counting leaves in plant
This script counts approximate square of plant leafs on a photo
Python scripts used in the maize leaf counting paper
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
使用keras版本的Mask-RCNN来训练自己的数据,通过代码把样本制作麻烦的步骤变成简单方便。
MobileNet with Re-training/Fine-tuning and Center/Triplet Loss
Models and examples built with TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.