Pinned Repositories
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's Repositories
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