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advanced_training

Advanced Scikit-learn training session

adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

adversarialautoencoder

Replicates Adversarial Autoencoder architecture from [Makhzani, Alireza, et al. "Adversarial autoencoders." arXiv preprint arXiv:1511.05644 (2015)](https://arxiv.org/abs/1511.05644). The code is adapted from Naresh's implementation [here](https://github.com/Naresh1318/Adversarial_Autoencoder).

camelyon16-grand-challenge

Implementation of Camelyon'16 grand challenge

course-v3

The 3rd edition of course.fast.ai

create_tfrecords

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeppath

Classification of Lung cancer slide images using deep-learning

diabetic

dlpipeline

Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning

esapix

Extension library for the Varian Eclipse Scripting API

fastai_deep_learning_course_part1_v3

My projects for fast.ai's Practical Deep Learning for Coders course (fast.ai part1v3)

fastai_deep_learning_course_part2_v3

My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)

fluence_maps

Deep learning models to predict the gamma index of treatment plans based on calculated fluence maps for intensity modulated radiation therapy (IMRT).

gpt4-pdf-chatbot-langchain

GPT4 & LangChain Chatbot for large PDF docs

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

iciar2018

Our solution for ICIAR 2018 Grand Challenge

jama16-retina-replication

JAMA 2016; 316(22) Replication Study

kaggle_diabetic

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

kaggle_rsna_breast_cancer

1st place of Kaggle's RSNA Screening Mammography Breast Cancer Detection competition

lstm-gru-bilstm-in-tensorflow-for-predictive-analytics

mlcourse.ai

Open Machine Learning Course

modern-apis-with-fastapi

Course demos and handouts for our Modern APIs with FastAPI course.

predaq

Implementation of the paper "Predicting gamma passing rates for portal dosimetry based IMRT QA using machine learning"

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 ;)

pydata-medical-image

A Deep Learning talk+tutorial for medical image processing

santander-product-recommendation

2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

transformers-tutorials

This repository contains demos Niels Rogge made with the Transformers library by HuggingFace.

varian-code-samples

Code samples for ESAPI and other Varian APIs and web services.