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We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks
Several worked examples and descriptions, with supporting code, that describe basic Bayesian Analysis based on Allen Downey's Think Bayes book.
Kaggle competition to predict TCO band gap and formation energies. Output from Light GBM model placed in top 6%.
Experiments with Adversarial Autoencoders using Keras
Uses data from the data driven battery scheduling competition; introduces battery scheduling using MILP; compares to the find optimisation method I developed for the competition
Tutorials to access Radiant MLHub Training Datasets
Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
A collaborative educational initiative in computational science and engineering.
Physical model to calculate the electronic relaxation rates within linear response theory using TDDFT
Singular Spectrum Analysis for time series forecasting in Python
A library for compiling excel spreadsheets to python code & visualizing them as a graph
Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
A python implementation of the Rapid Automatic Keyword Extraction
Code to compute permutation and drop-column importances in Python scikit-learn random forests
Resources for deep learning with satellite & aerial imagery
Python module for Simulated Annealing optimization
Comparing various time series forecasting methods using HI-SEAS Hawaii dataset in context of small training data set size.
Comparing neural networks and deep forests in ability to detect solar panels from satellite images.
Topic modeling methodology using natural language processing and unsupervised clustering techniques (K-means, Gaussian mixture models, LDA and doc2vec to be implemented).
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.