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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"
This repository contains implementations and illustrative code to accompany DeepMind publications
Code generation framework for automated finite difference computation
Python tools for working with DHI MIKE21
TensorFlow documentation
additional documents like presentations, posters and workshop material
Notebooks on Electrical Resistivity Tomography using pygimli
Espressif IoT Development Framework. Official development framework for Espressif SoCs.
TensorFlow Lite Micro for Espressif Chipsets
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
Guides, tutorials and exemplar notebooks for the Noteable service.
FiPy is a Finite Volume PDE solver written in Python
First break picking in seismic gather
Processing framework for FOWD, a free ocean wave dataset, ready for your ML application :ocean:
Spatial data processing for geomodeling
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 address parameter and model uncertainties.
Open and collaborative tutorials for Gephi
GPU-comcot offloads the computational component on the outermost layer of COMCOT to Nvidia GPU. Currently, the speed up achieved by parallelized code on GTX-1060 comparing to serial one on AMD-FX8150 is nearly 200X. The code is still under development to fulfill the full functionality of the original model.
A high performance implementation of HDBSCAN clustering.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Documentation for FEFLOW IFM API (Python Interface)
Instant high-frequency seismograms from an AxiSEM database
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)
Notebooks and code for the book "Introduction to Machine Learning with Python"
Contains source code for iVEM
JAGURS is a tsunami simulation code solving linear/nonlinear long-wave/Boussinesq equations with/without effects of elastic deformation of the Earth due to tsunami load and vertical profile of seawater density stratification. This code was paralleled by using OpenMP and MPI.
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.