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Random notebooks for various projects.
Examples of using f2py to get high-speed Fortran integrated with Python easily
Code from Deep learning for coders with fastai and PyTorch book by Jeremy Howard
The fastai book, published as Jupyter Notebooks
Use advanced feature engineering strategies and select the best features from your data set fast with a single line of code.
Python Data. Leaflet.js Maps.
Simple one-dimensional example using GANs
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.
Materials for following along with Hands-On Data Analysis with Pandas.
Hands-on Exploratory Data Analysis with Python, published by Packt
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
An efficient evaluator for streamflow time series in Python
practices for gis in hydrology
CNN multi-label image classifier 🖼️.
😎 Finding duplicate images made easy!
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Kibanaを使ってはてブを可視化してみるデモ
Learning Geospatial Analysis with Python – Third Edition, published by Packt
YouTubeのライブ講義「【Live!人工知能 】PyTorchで実装するディープラーニング」、およびUdemyコース「PyTorchで実装するディープラーニング」で使用する教材です。
Applying LSTM on river water level data
Theano implementation of our paper 'Developing a Long Short-Term Memory (LSTM) based Model for Predicting Water Table Depth in Agricultural Areas', Journal of Hydrology.
Python API for Intelligent Visual Data Discovery
書籍 AIエンジニアを目指す人のための機械学習入門(清水琢也・小川雄太郎、技術評論社、20/04/13) のサポートリポジトリ
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.