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chandpes's Projects

awesome-panel-extensions icon awesome-panel-extensions

The purpose of this repository is to make it as easy as possible to develop and use awesome Panel extensions.

basic_cnns_tensorflow2 icon basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

bayseg icon bayseg

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

bruges icon bruges

Geophysics library with various helpful functions

clean-or-messy icon clean-or-messy

The project attempts to classify a given image as clean or messy.

cnn-for-asi icon cnn-for-asi

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

computer-vision-notebooks icon computer-vision-notebooks

๐Ÿ‘๏ธ An authorial collection of fundamental python recipes on Computer Vision and Digital Image Processing.

covid-19-data icon covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests โ€ข All countries โ€ข Updated daily by Our World in Data

cvpr2021-paper-code-interpretation icon cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 ่ฎบๆ–‡/ไปฃ็ /่งฃ่ฏป/็›ดๆ’ญๅˆ้›†๏ผŒๆžๅธ‚ๅ›ข้˜Ÿๆ•ด็†

cvzone icon cvzone

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

data-analysis icon data-analysis

A collection of python programs for the analysis of magnetization and scattering data of magnetic nanoparticles

data-repository-on-re icon data-repository-on-re

This Repository contains varying data such as PVT, well, field data and various tutorials, all centered on Reservoir Engineering

data-science icon data-science

Collection of useful data science topics along with code and articles

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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