jmorrow1000

algorithmic-examples

Algorithmic Marketing Models

BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

CaImAn

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

contextualbandits

Python implementations of contextual bandits algorithms

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

Deep_reinforcement_learning_Course

Notebooks from the free course Deep Reinforcement Learning with Tensorflow

DeepLearningMovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

integrating-nn

integrating neural network

PINN-iPINN

physics-informed neural network and inverse physics-informed neural network

PINN-with-forcing-function

Physics Informed Neural Network solution for a 2nd order differential equation w/ forcing function

jmorrow1000/PINN-iPINN

physics-informed neural network and inverse physics-informed neural network

jmorrow1000/PINN-with-forcing-function

Physics Informed Neural Network solution for a 2nd order differential equation w/ forcing function

jmorrow1000/integrating-nn

integrating neural network

jmorrow1000/algorithmic-examples

Algorithmic Marketing Models

jmorrow1000/BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

jmorrow1000/CaImAn

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

jmorrow1000/contextualbandits

Python implementations of contextual bandits algorithms

jmorrow1000/DeepMellow

Implementation of DeepMellow algorithm (IJCAI 2019)

jmorrow1000/flying-dog-beers

jmorrow1000/genetic-reflow-oven

genetic algorithm for determining optimal reflow oven settings

jmorrow1000/gpuRIR

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

jmorrow1000/GradientTapes_Keras

All of the code for my Medium articles

jmorrow1000/intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

jmorrow1000/inverting-nn

jmorrow1000/jalammar.github.io

Build a Jekyll blog in minutes, without touching the command line.

jmorrow1000/KAN-from-scratch

Code repository of ml-without-tears blog: https://mlwithouttears.com/

jmorrow1000/keras

Deep Learning for humans

jmorrow1000/mastering-pycharm-course

Course demos and handouts for Talk Python's Mastering PyCharm course

jmorrow1000/ML-AndrewNg

Notebooks from the Machine Learning Specialization

jmorrow1000/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

jmorrow1000/NLP-with-Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

jmorrow1000/PINNs

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

jmorrow1000/PINNs-and-iPINNs-Pytorch

[Wojtak]This repository hosts my PyTorch implementations of PINN (Physics-Informed Neural Network) and iPINN (inverse Physics-Informed Neural Network) from the tutorial https://towardsdatascience.com/inverse-physics-informed-neural-net-3b636efeb37e

jmorrow1000/PINNs-TF2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

jmorrow1000/pykan

Kolmogorov Arnold Networks [original paper code]

jmorrow1000/python-jumpstart-course-demos

Contains all the "handout" materials for my Python Jumpstart by Building 10 Apps course. This includes try it yourself and finished versions of the 10 apps.

jmorrow1000/RL-generalize

jmorrow1000/sandbox

Semi-supervised Learning with Variational Autoencoders - Bounded Rationality

jmorrow1000/sentence-transformers

Sentence Embeddings with BERT & XLNet

jmorrow1000/WorldModels

World Models with TensorFlow 2