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Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
:hospital: Collect request data and measure performance
Graph and network visualization using tabular data in R.
:art: Diagram as Code for prototyping cloud system architectures
Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
A privacy-aware, distributed, open source social network.
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
Generate Diverse Counterfactual Explanations for any machine learning model.
High-performance dictionary coding
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
Good-lookin' diffs. Actually… nah… The best-lookin' diffs. :tada:
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
The tools for proper interactions between ApproxFun.jl and DifferentialEquations.jl for pseudospectiral partial differential equation discretizations in scientific machine learning (SciML)
The lightweight Base library for shared types and functionality.
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Benchmarks for the DiffEq Solvers
Server behind the benchmarking bot @DiffEqBot for benchmarking scientific machine learning (SciML)
DiffEq related functionality for defining biological models
A library of useful callbacks for DiffEq solvers
Developer documentation for the SciML scientific machine learning ecosystem's differential equation solvers
Various developer materials, like PDFs, notes, derivations, etc. for differential equations and scientific machine learning (SciML)
Benchmarking, testing, and development tools for differential equations
Diagrams and visualizations for scientific machine learning (SciML)
Differentiation tools using the performance overloads and traits for the DiffEq common interface
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
A domain-specific language for specifying various differential equations
Differential equation problem specifications for common financial models
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.