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.
☆228Jan 13, 2021Updated 5 years ago
Alternatives and similar repositories for trixi
Users that are interested in trixi are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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…☆27Apr 26, 2022Updated 4 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆65Jul 25, 2024Updated last year
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Jan 1, 2024Updated 2 years ago
- A tiny module for machine learning experiment orchestration☆63Sep 14, 2019Updated 6 years ago
- This project was carried out as part of the recruitment processs for a major AI company. The task was to implement a model for CG and PZ …☆15Jan 7, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- An example project of how to use a U-Net for segmentation on medical images with PyTorch.☆152Jul 25, 2024Updated last year
- Automated deep-learning based brain extraction applicable to a broad range of MRI sequence types and with robust performance even in the …☆40Jul 14, 2021Updated 4 years ago
- A grid sampler for larger-than-memory N-dimensional images☆28Nov 11, 2025Updated 7 months ago
- A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.☆53Feb 8, 2025Updated last year
- Augment 3D images of a focal lesion with 3D rotation, flip, and translation.☆10Jan 14, 2017Updated 9 years ago
- torchbearer: A model fitting library for PyTorch☆641Dec 4, 2023Updated 2 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Jul 10, 2019Updated 6 years ago
- Tutorial about combining PyTorch and NiftyNet for deep learning and medical image computing☆15Aug 24, 2019Updated 6 years ago
- ☆27Dec 6, 2019Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/☆95Feb 28, 2024Updated 2 years ago
- Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.☆31Feb 13, 2019Updated 7 years ago
- Automated processing of MRI in neuro-oncology (combining HD-BET, image co-registration, and HD-GLIO in one container)☆35Jun 5, 2022Updated 4 years ago
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,355Jun 17, 2024Updated 2 years ago
- SplitNet implemented based on ResNet-50 trained on ImageNet-22K☆16Jun 18, 2018Updated 8 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Jun 18, 2019Updated 7 years ago
- Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.☆97Oct 29, 2022Updated 3 years ago
- Implementations of ideas from recent papers☆389Dec 22, 2020Updated 5 years ago
- Storage for presentation slides of previous talks and events.☆28Jan 4, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Automated deep-learning based brain tumor segmentation on MRI☆41Aug 24, 2022Updated 3 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆11Aug 20, 2018Updated 7 years ago
- A language-agnostic interface to TensorBoard☆781Nov 9, 2017Updated 8 years ago
- RNN Approaches to Integer Sequence Learning--the famous Kaggle competition☆26Feb 5, 2017Updated 9 years ago
- auto-tuning momentum SGD optimizer☆287Mar 24, 2019Updated 7 years ago
- torch-inspect -- collection of utility functions to inspect low level information of neural network for PyTorch☆17Mar 6, 2023Updated 3 years ago
- PyTorch ObjectDetection Modules and ONNX ops☆18Jun 12, 2023Updated 3 years ago
- Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machi…☆238Mar 8, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Large dataset storage format for Pytorch☆45Aug 19, 2021Updated 4 years ago
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆736Jul 22, 2022Updated 3 years ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆293Dec 17, 2018Updated 7 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆17Jan 16, 2024Updated 2 years ago
- MICCAI2019:3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation☆237Oct 18, 2023Updated 2 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆563Mar 24, 2023Updated 3 years ago
- Experimental framework for running pytorch experiments☆14Mar 6, 2023Updated 3 years ago