I am a Ph.D. Candidate at TU Berlin's Machine Learning Group advised by Prof. Müller and a research associate at BIFOLD. My machine-learning research focuses on generative models for multiple modalities (such as vision and language) and probabilistic modeling.
- Berlin
- jannikwolff.github.io
Highlights
- Pro
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biva-pytorch
biva-pytorch PublicForked from vlievin/biva-pytorch
Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
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ladder-vae-pytorch
ladder-vae-pytorch PublicForked from addtt/ladder-vae-pytorch
Ladder Variational Autoencoders (LVAE) in PyTorch
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multimodal-vae-public
multimodal-vae-public PublicForked from mhw32/multimodal-vae-public
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
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DReG-PyTorch
DReG-PyTorch PublicForked from iffsid/DReG-PyTorch
A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"
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cs230-code-examples
cs230-code-examples PublicForked from cs230-stanford/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
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