jmorrow1000 Goto Github PK

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

deepmellow

Implementation of DeepMellow algorithm (IJCAI 2019)

experiments

Experiments in NLP, Deep Learning, Reinforcement Learning and Artificial Intelligence

flying-dog-beers

gan-intro

genetic-reflow-oven

genetic algorithm for determining optimal reflow oven settings

gpurir

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

gradienttapes_keras

All of the code for my Medium articles

integrating-nn

integrating neural network

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

inverting-nn

jalammar.github.io

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

kan-from-scratch

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

keras

Deep Learning for humans

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

mastering-pycharm-course

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

ml-andrewng

Notebooks from the Machine Learning Specialization

mlblog

Source code for the tutorial series at http://www.thoughtly.co/blog/prototype

neural-networks-and-deep-learning

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

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

nlp-with-python

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

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

pinns

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