emoen Goto Github PK
Name: Endre Moen
Type: User
Company: Bkk
Bio: Data scientist @ Bkk
Twitter: Endre_Moen
Location: Bergen, Norway
Name: Endre Moen
Type: User
Company: Bkk
Bio: Data scientist @ Bkk
Twitter: Endre_Moen
Location: Bergen, Norway
Recent advances in machine learning have brought forth methods that have been remarkably successful in a variety of settings, most notably in image analysis. These methods are now being applied to data analysis in marine sciences, where they have the potential to automate analysis that previously required manual curation. Here we adapt a machine learning model intended for object recognition to the task of estimating age from otolith images. The model is trained and validated on a collection of otolith images from Greenland halibut. We show that the precision of the model's age estimates is comparable to and may even surpass that of human experts. Age reading from otoliths is an important element in the management of many marine stocks, and automating this analysis is an important step to ensure consistency, lower cost, and increase scale.
Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
final year project teesside
Using the EfficientNet family to predict cod-otolith age.
Fish scales constitute a valuable source of information about individual life histories, but correctly extracting this information requires a highly skilled expert. Here, we train a deep convolutional neural network architecture EfficientNet B4 on a set of about 9000 salmon scale images, and show that it attains good performance on predicting a set of variables used in stock management. Further, we see substantial benefits from user transfer learning with a network pre-trained on ImageNet, even if the salmon scale images are very different from those found in the data used for pre-training.
Discover augmentation strategies tailored for your dataset
Presentation held at IMR Machine Learning journal club 15. October 2020. Demo Marcenko Pasture distribution applied to eigenvalues of random matrix
Code that I show on my YouTube Channel
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Automated Cryptocurrency Trading with PyTorch Models for Stock Price Prediction
Free, open source crypto trading bot
High level components for GeoExt based applications.
library dispatching books - using maximum flow algorithm
Pop any value of the heap - not just the top element. Convenient feature for scheduling tasks.
Implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3942764
๐ Build container images for your Java applications.
kaggle machine learning projects
coding kata
neural network sandbox using Keras
Lstm-cnn-charting
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos Lรณpez de Prado.
Machine Learning in Finance: From Theory to Practice Book
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Uonfficial wrapper for financial data api from the Scandinavian broker Nordnet
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.