MIC-DKFZ / trixi
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
☆222Updated 4 years ago
Alternatives and similar repositories for trixi:
Users that are interested in trixi are comparing it to the libraries listed below
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated last year
- Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow☆220Updated 4 years ago
- Pytorch implementation of MaxPoolingLoss.☆175Updated 6 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 4 years ago
- Implementations of ideas from recent papers☆391Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 4 years ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- Streaming over lightweight data transformations☆265Updated 3 months ago
- Kaggle Data Science Bowl 2018☆119Updated 6 years ago
- visualization of CNN in PyTorch☆155Updated last year
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- RadIO is a library for data science research of computed tomography imaging☆222Updated 3 years ago
- A utility library around PyTorch☆244Updated 2 years ago
- This package provides TensorFlow Ops for multidimensional volumetric image augmentation.☆133Updated 2 weeks ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- DLTK Model Zoo☆114Updated 6 years ago
- Smooth Loss Functions for Deep Top-k Classification☆251Updated 3 years ago
- High-level batteries-included neural network training library for Pytorch☆398Updated 3 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆333Updated 3 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆549Updated last year
- ☆35Updated 7 years ago
- Equi-normalization of Neural Networks☆115Updated 5 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.☆67Updated 4 years ago
- Simple Tensorflow implementation of "Curriculum Adaptive Sampling for Extreme Data Imbalance" with multi GPU using LUNA16 (MICCAI 2017) /…☆61Updated 7 years ago
- To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…☆101Updated last year
- PyTorch based Deep Learning Toolbox☆204Updated 6 years ago
- [NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".☆169Updated 5 years ago
- Our solution for ICIAR 2018 Grand Challenge☆193Updated 4 years ago