ahmadsaeed2601 Goto Github PK
Type: User
Company: NUST Rawalpindi
Bio: I am a Masters Student in NUST college of EME , Mechanical Deptt.
Location: Pakistan
Type: User
Company: NUST Rawalpindi
Bio: I am a Masters Student in NUST college of EME , Mechanical Deptt.
Location: Pakistan
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
AMATH 482 HW, Nathan Kutz, Winter 2019.
A curated list of resources for Learning with Noisy Labels
A curated list of awesome Machine Learning frameworks, libraries and software.
A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.
Bayesian Dynamic Mode Decomposition (Bayesian DMD)
A list of papers relating Computational Physics and Machine Learning
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Code Examples of "Deep Learning for Beginners"
TensorFlow implementation of Deep Reinforcement Learning papers
neural networks to learn Koopman eigenfunctions
This repository contains implementations and illustrative code to accompany DeepMind publications
Deep Learning of Vortex Induced Vibrations
This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyMoD_torch
Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
A library of tools for computing variants of Dynamic Mode Decomposition
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
Equation-Free function toolbox for Matlab/Octave
Source files and published documents for the FEniCS tutorial.
Linear and non-linear spectral forecasting algorithms
A MATLAB package for numerous gradient descent optimization methods, such as Adam and RMSProp.
HODMD algorithm from Le Clainche & Vega, SIAM J. on Appl. Dyn. Sys. 16(2), 882-925, 2017
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.