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ADC Toolbox: Comparing Atmospheric Composition Datasets
The MATLAB codes show simple examples for trajectory generation and control of a robot manipulator, which are built on an adaptive duration hidden semi-Markov model (ADHSMM). The models, algorithms and results given in these codes are part of a project aimed at learning proactive and reactive collaborative robot behaviors.
Aim — an easy-to-use and performant open-source experiment tracker.
AMS Short Course on Open Source Radar Software
Anomaly detection related books, papers, videos, and toolboxes
Repository associated with the NASA ARSET Training, "Drought Monitoring, Prediction, and Projection using NASA Earth System Data"
Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
List of datasets, codes, and contests related to remote sensing change detection
Notebooks about Bayesian methods for machine learning
This repo contains an implementation of Bayesian Optimization based on the Gaussian process.
python library for bias correction
Climate indices for drought monitoring, community reference implementations in Python
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Convolutional LSTM for Precipitation Nowcasting
Covid-19 India's statewide analysis with census data 2011 and Kaggle data
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.
Examples of Data Science projects and Artificial Intelligence use cases
A book covering the fundamentals of data visualization
Preview of the textbook Algorithms for Decision Making
Deep Learning and Rare Event Prediction
Deep Learning Specialization by Andrew Ng on Coursera.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Deep Learning Illustrated (2020)
List of papers, code and experiments using deep learning for time series forecasting
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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.