Moritz Wolter's repositories
PyTorch-Wavelet-Toolbox
Differentiable fast wavelet transforms in PyTorch with GPU support.
Complex-gated-recurrent-neural-networks
Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (NeurIPS) 2018.
Jax-Wavelet-Toolbox
Differentiable and gpu enabled fast wavelet transforms in JAX.
Listen-attend-and-spell
A listen attend and spell reimplementation in tensorflow, using a custom attention mechanism.
Wavelet-network-compression
PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificial Neural Networks (ICANN) 2020.
Spectral-RNN
Spectral RNNs with adaptive window learning in TensorFlow, ICANN 2020.
Quantum-init
Quantum random numbers and quantum initialization for convolutional neural networks using PyTorch and Qiskit.
Fourier-Motion-Estimation-and-Segment-Transformation
Source code for the paper Object-centered Fourier Motion Estimation and Segment-Transformation Prediction, ESANN 2020
masterThesis
my master Thesis rpo
NumPy-backprop
Numpy implementations of feedforward and recurrent machine learning network structures.
dfg_emmy_project_proposal_template
dfg_emmy_template
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
sympad_pytorch
Native symmetric padding for PyTorch
_optax
Optax is a gradient processing and optimization library for JAX.
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
hamiltonian-ml
Hamiltinian ml explorative work
matplotlib_docfix
matplotlib: plotting with Python
nls
The nonlinear system repo
numLinAlg
The numerical linear algebra Homework repo.
openpose_docker
Openpose inside a docker container
pytorch_fork_sympad
Tensors and Dynamic neural networks in Python with strong GPU acceleration
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks