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Name: Olle Holmberg
Type: User
Bio: Applied Mathematics student at Technical University of Munich
Location: Munich
Name: Olle Holmberg
Type: User
Bio: Applied Mathematics student at Technical University of Munich
Location: Munich
Augmentations usage examples for albumentations library
Keras Layer implementation of Attention
Interactive Data Visualization in the browser, from Python
Data exploration for genomic growth rates
Recently updated with 50 new 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.
Experiments with Deep Learning
This is a TensorFlow example implementation for retina classification of diabetes. The network is a standard residual network model with 50 layers which is defined in resnet_models.py and resnet_utils.py.
tensorflow implementation of Grad-CAM (CNN visualization)
Health and Gene data exploration in R using ggplot2
streamlined for running the resnet v2 50 on the kaggle data set. Only config necessare is setting params for data dir, training file name and validation file name in train.py
script for experimenting with architectures and preprocessing of kaggle DRD data prediction
Keras implementation of Attention Augmented Convolutional Neural Networks
Keras Implementation of EfficientNets
Models and examples built with TensorFlow
Open Source Computer Vision Library
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Show how to structure a Python project.
This project is an implementation and improvement of the paper LocTree2 for Sub cellular localization protein prediction
TensorFlow's Visualization Toolkit
TensorFlow Tutorials with YouTube Videos
U-net segmentation network in Tensorflow
U-Net Brain Tumor Segmentation in TensorFlow
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation
code for parsing and predicting depth maps from xml files and OCT images
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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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.