jmorrow1000

PINN-with-forcing-function

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

pykan

Kolmogorov Arnold Networks [original paper code]

KAN-from-scratch

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

BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

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

WorldModels

World Models with TensorFlow 2

genetic-reflow-oven

genetic algorithm for determining optimal reflow oven settings

RL-generalize

PINN-iPINN

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

integrating-nn

integrating neural network

inverting-nn

PINNs-TF2.0

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

ML-AndrewNg

Notebooks from the Machine Learning Specialization

GradientTapes_Keras

All of the code for my Medium articles

PINNs

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

sentence-transformers

Sentence Embeddings with BERT & XLNet

jalammar.github.io

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

flying-dog-beers

DeepMellow

Implementation of DeepMellow algorithm (IJCAI 2019)

NLP-with-Python

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

keras

Deep Learning for humans

neural-networks-and-deep-learning

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

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.

sandbox

Semi-supervised Learning with Variational Autoencoders - Bounded Rationality

gpuRIR

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

algorithmic-examples

Algorithmic Marketing Models

contextualbandits

Python implementations of contextual bandits algorithms

mastering-pycharm-course

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

CaImAn

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

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)