Pinned Repositories
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
fluence_maps
Deep learning models to predict the gamma index of treatment plans based on calculated fluence maps for intensity modulated radiation therapy (IMRT).
jama16-retina-replication
JAMA 2016; 316(22) Replication Study
pablojrios's Repositories
pablojrios/fluence_maps
Deep learning models to predict the gamma index of treatment plans based on calculated fluence maps for intensity modulated radiation therapy (IMRT).
pablojrios/jama16-retina-replication
JAMA 2016; 316(22) Replication Study
pablojrios/advanced_training
Advanced Scikit-learn training session
pablojrios/Adversarial_Autoencoder
A wizard's guide to Adversarial Autoencoders
pablojrios/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).
pablojrios/camelyon16-grand-challenge
Implementation of Camelyon'16 grand challenge
pablojrios/course-v3
The 3rd edition of course.fast.ai
pablojrios/create_tfrecords
pablojrios/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
pablojrios/DeepPATH
Classification of Lung cancer slide images using deep-learning
pablojrios/diabetic
pablojrios/DLpipeline
Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning
pablojrios/ESAPIX
Extension library for the Varian Eclipse Scripting API
pablojrios/fastai_deep_learning_course_part1_v3
My projects for fast.ai's Practical Deep Learning for Coders course (fast.ai part1v3)
pablojrios/fastai_deep_learning_course_part2_v3
My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
pablojrios/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
pablojrios/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.
pablojrios/ICIAR2018
Our solution for ICIAR 2018 Grand Challenge
pablojrios/kaggle_diabetic
Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge
pablojrios/kaggle_rsna_breast_cancer
1st place of Kaggle's RSNA Screening Mammography Breast Cancer Detection competition
pablojrios/LSTM-GRU-BiLSTM-in-TensorFlow-for-predictive-analytics
pablojrios/mlcourse.ai
Open Machine Learning Course
pablojrios/modern-apis-with-fastapi
Course demos and handouts for our Modern APIs with FastAPI course.
pablojrios/Predaq
Implementation of the paper "Predicting gamma passing rates for portal dosimetry based IMRT QA using machine learning"
pablojrios/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 ;)
pablojrios/pydata-medical-image
A Deep Learning talk+tutorial for medical image processing
pablojrios/Santander-Product-Recommendation
2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
pablojrios/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.
pablojrios/Transformers-Tutorials
This repository contains demos Niels Rogge made with the Transformers library by HuggingFace.
pablojrios/Varian-Code-Samples
Code samples for ESAPI and other Varian APIs and web services.