Dimitris Poulopoulos's starred repositories
deepslide
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Algojammer
An experimental code editor for writing algorithms
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
data-validation
Library for exploring and validating machine learning data
tensorflow
An Open Source Machine Learning Framework for Everyone
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems