AhmadSaeed2601

18S191

Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:

9eqModel_KNFandLSTM

AhmadSaeed2601.github.io

AMATH482

AMATH 482 HW, Nathan Kutz, Winter 2019.

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

BayesianDifferentiableProgramming

bayesiandmd

Bayesian Dynamic Mode Decomposition (Bayesian DMD)

RPCA-PIV

AhmadSaeed2601/18S191

Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:

AhmadSaeed2601/9eqModel_KNFandLSTM

AhmadSaeed2601/AhmadSaeed2601.github.io

AhmadSaeed2601/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

AhmadSaeed2601/awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

AhmadSaeed2601/BayesianDifferentiableProgramming

AhmadSaeed2601/data-science-ipython-notebooks

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.

AhmadSaeed2601/Deep-Learning

AhmadSaeed2601/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

AhmadSaeed2601/DeePyMoD_torch

Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]

AhmadSaeed2601/DemoGithubGUI

AhmadSaeed2601/End-to-End-Time-Series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

AhmadSaeed2601/flatiron-school-data-science-curriculum-resources

AhmadSaeed2601/from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

AhmadSaeed2601/JuliaTutorials

Learn Julia via interactive tutorials!

AhmadSaeed2601/lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

AhmadSaeed2601/MODULO

MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and experimental data using the mPOD.

AhmadSaeed2601/New-folder

AhmadSaeed2601/Optimally-Weighted-PINNs

AhmadSaeed2601/phygeonet

PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain

AhmadSaeed2601/PIAIC_Online_Quarter1

AhmadSaeed2601/PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

AhmadSaeed2601/present

Code from Jeff Heaton's YouTube videos, articles, and conference presentations.

AhmadSaeed2601/rom-operator-inference-Python3

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

AhmadSaeed2601/sciann-applications

A place to share problems solved with SciANN

AhmadSaeed2601/selfDMD

AhmadSaeed2601/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

AhmadSaeed2601/tfdiffeq

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

AhmadSaeed2601/timeserio

Better `keras` models for time series and beyond

AhmadSaeed2601/wtfpython

What the f*ck Python? 😱