npielawski / pytorch_tiramisuLinks
A regular Tiramisu network for PyTorch with a LOT of extra features!
☆42Updated 4 years ago
Alternatives and similar repositories for pytorch_tiramisu
Users that are interested in pytorch_tiramisu are comparing it to the libraries listed below
Sorting:
- ☆54Updated 3 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Keras implementation of layer which performs augmentations of images using GPU.☆49Updated 4 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated last month
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆39Updated 5 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆41Updated 3 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow☆220Updated 4 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- This package provides TensorFlow Ops for multidimensional volumetric image augmentation.☆134Updated last month
- TF 2.x and PyTorch Lightning Callbacks for GPU monitoring☆92Updated 5 years ago
- FasterAI: A repository for making smaller and faster models with the FastAI library.☆35Updated last year
- Implementation of FixMatch in PyTorch and experimentations☆12Updated 5 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 5 years ago
- Manifold-Mixup implementation for fastai V2☆17Updated 5 years ago
- A visualization library for PyTorch tensors☆19Updated 2 years ago
- WIP☆21Updated 8 years ago
- A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.☆72Updated 3 years ago
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 6 years ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆111Updated 5 years ago
- Converting EfficientNet to Pytorch for use with fastai☆27Updated 6 years ago
- Core functionality of Eisen☆41Updated 5 years ago
- Hyppopy is a python toolbox for blackbox optimization. It's purpose is to offer a unified and easy to use interface to a collection of so…☆27Updated 3 years ago
- Starter code for the CellSignal NeurIPS 2019 competition.☆45Updated 4 months ago
- Data Reading Blocks for Python☆105Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 3 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆79Updated 6 years ago
- Evaluation framework for testing segmentation networks in Keras☆36Updated 6 years ago
- Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)☆11Updated 3 years ago