brettbj

InvokeAI

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

Palette-Image-to-Image-Diffusion-Models

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

privacy

Library for training machine learning models with privacy for training data

PySyft

Perform data science on data that remains in someone else's server

causality

Tools for causal analysis

seq2vec

Transform sequence of words into a fix-length representation vector

spark

Apache Spark - A unified analytics engine for large-scale data processing

seqlearn

Sequence learning toolkit for Python

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

semiotic

A data visualization framework combining React & D3

IrregularTimeSeriesAutoencoderPaper

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

elephas

Distributed Deep learning with Keras & Spark

wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

umap

Uniform Manifold Approximation and Projection

end2end-all-conv

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

imputation

https://www.biorxiv.org/content/early/2017/07/24/167858

SPRINT_gan

Privacy-preserving generative deep neural networks support clinical data sharing

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

tikz_cnn

Macro to draw architecture of convolutional neural nets in tikz.

salmon

🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

DeepLearningImplementations

Implementation of recent Deep Learning papers

keras-adversarial

Keras Generative Adversarial Networks

unrolled_gan

Unrolled Generative Adversarial Networks

ClinicalDataSources

Open or Easy Access Clinical Data Sources for Biomedical Research

timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

gumbel

Gumbel-Softmax Variational Autoencoder with Keras

tsfresh

Automatic extraction of relevant features from time series: