ubergmann

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Urs Bergmann's starred repositories

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

Language:Jupyter NotebookApache-2.0210700

CRISP

A probabilistic graphical model for COVID-19 infection spread through a population based on mutual contacts between pairs of individuals across time as well as test outcomes The C++/Python implementation enables full inference at the scale of millions of contacts between thousands of individuals.

Language:Jupyter NotebookMIT1300

JaxRK

RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation

Language:Jupyter NotebookMIT800

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Language:PythonMIT118700

SWARM

Set-Equivariant Deep Learning Models

Language:Python2200

feidegger

A Multi-modal Corpus of Fashion Images and Descriptions in German

MIT4800

Conditional-Analogy-GAN-keras

keras implementation of CAGAN and its variants. The Conditional Analogy GAN: Swapping Fashion Articles on People Images

Language:Jupyter Notebook6000

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Language:PythonNOASSERTION1365100

disentangling_conditional_gans

Disentangling Multiple Conditional Inputs in GANs

Language:PythonMIT6800

famos

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

Language:PythonMIT12800

salm

Syntax-aware language models in Pytorch

Language:PythonMIT900

pytorch-dilated-rnn

Dilated RNNs in pytorch

Language:PythonMIT20900

first_order_gan

Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591

Language:Jupyter NotebookApache-2.03500

probrnn

State space modeling with recurrent neural networks

Language:PythonMIT4200

zap

Multilingual NLP annotation projection

Language:JavaNOASSERTION4900

psgan

Periodic Spatial Generative Adversarial Networks

Language:Jupyter NotebookMIT13800

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

Language:PythonMIT1162000

spatial_gan

Spatial Generative Adversarial Networks

Language:PythonMIT11100