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ml-lab's Projects

predixi icon predixi

Find out when that station is going to be empty! Huge WIP.

private-fair-gan icon private-fair-gan

ICLR Reproducibility Challenge: Generative Adversarial Models For Learning Private And Fair Representations

privategpt icon privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

prnet icon prnet

The source code of 'Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network'.

probabilistic-backpropagation icon probabilistic-backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

probable-wordlists icon probable-wordlists

Version 2 is live! Wordlists sorted by probability originally created for password generation and testing - make sure your passwords aren't popular!

probtorch icon probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

proceduralpaper icon proceduralpaper

Implemetation of the paper "Procedural Modeling of Buildings", by Peter Wonka and Pascal Müller.

profet icon profet

ProFET: Protein Feature Engineering Toolkit for Machine Learning

prog_nn icon prog_nn

A Quick and Dirty Progressive Neural Network written in TensorFlow.

proje icon proje

Embedding Projection for Knowledge Graph Completion

projectaiai icon projectaiai

AiAi.care project aims to reduce Lung Cancer screening time by 90%, reduce screening cost by 90%, and improve survival probability by 5X through early detection. AiAi team is building a CAD (Computer Aided Detection) algorithm that will scan Chest X-Rays using a Deep Learning models for Lung Cancer nodule detection and registration. AiAi.care will be world's first FDA approved, open-source CAD, and will be distributed for free to developing countries, charitable hospitals, and organizations like WHO.

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