jack-etheredge Goto Github PK

airbnb-price-prediction

baselines

Baselines for Neural MMO -- new users should treat this repo as a starter project

brain-signal-authentication-for-human-computer-interaction-in-virtual-reality

brain-tumor-segmentation-3d-unet-cnn

Brain tumor segmentation using a 3D UNet CNN

citylearn

Official reinforcement learning environment for demand response and load shaping

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

dlfs_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

dsp

Metis Data Science Bootcamp - Official Prework Repository

early_convolutions_vit_pytorch

(Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better

fastai

The fastai deep learning library, plus lessons and tutorials

fungiclef2024

Training code for FungiCLEF 2024 competition.

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

generative-models

glasses

High-quality Neural Networks for Computer Vision 😎

glaucoma-detection-and-classification

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

guessing-game-0-100

Guessing game that gives you 10 tries to guess the number 0-100 and tells you whether your guess is too high or too low. (Originally debugged for Metis application.)

hierarchical-clustering-of-differentially-expressed-genes

Hierarchical clustering of differentially expressed genes for thesis.

jack-etheredge.github.io

kaggle_lux_ai_2021

lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

mnist-convolutional-neural-network-in-pytorch

MNIST convolutional neural network in Pytorch reusing the CIFAR10 network architecture and loading the MNIST dataset I downloaded myself rather than using the built-in MNIST data loader from torch vision.

mta-turnstile-analysis

MTA turnstile data analysis using Python and pandas.

nyc-job-openings-prediction

predicting-early-hospital-readmissions

Predicting early hospital readmissions among diabetic patients. I used several supervised machine learning algorithms to predict early hospital readmissions based on a dataset available from UCI and performed a cost benefit analysis to optimize a threshold for recall and precision. I made a simple Flask prediction app as well.

prediction-of-nitrogen-oxides-level-in-air-quality

project-guten-bag-of-words

Project-guten-bag-of-words: Automatic genre grouping, similar book recommendation, and visualization of narrative patterns in Project Gutenberg books using unsupervised machine learning. This is an unsupervised learning project involving Project Gutenberg books. I built an associated dash app that’s also included.

project_euler_solutions

My solutions to Project Euler problems

python-restful-service-with-docker