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work in progress, emphasize 20
CryptoNote CPU/GPU mining tool for Monero (XMR)
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Deep BSDE solver in TensorFlow
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics
Using DeepBSDE solver to price/hedge options & optimize portfolios under Black-Scholes, Heston and multiscale models.
Deep learning library for solving differential equations and more
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
Uncertainty quantification for scientific machine learning (SciML) and differential equations
Discretization tools for finite volume and inverse problems.
Python package for information theory.
Direct Numerical Simulation of an incompressible turbulent channel flow (CPL)
Direct Numerical Simulation (DNS) of an incompressible turbulent pipe flow (CPL)
Next generation FEniCS problem solving environment
ECG simulator app for use with Arduino
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Entropy Toolkit is a set of tools to exploit Netwave and GoAhead IP Webcams. Entropy is a powerful toolkit for webcams penetration testing.
EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
Chebfun examples collection
Fast Poisson Equation Solver using Discrete Cosine Transform
Code for the FiniteNet ICML Paper
code for active flow control of flow around cynder using Deep Reinforcement Learning
Fluid flow past a cylinder using DiffusionNet
FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates
Use Fourier transform to learn operators in differential equations.
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.
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.