Alternatives and similar repositories for DeepDementia

Users that are interested in DeepDementia are comparing it to the libraries listed below

• rachellea / pytorch-computer-vision
  PyTorch tutorial for computer vision
  ☆34Updated 3 years ago
• MedARC-AI / OpenMidnight
  ☆35Updated this week
• amaarora / melanoma_wandb
  ☆15Updated 3 years ago
• BiomedSciAI / fuse-med-ml
  A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
  ☆152Updated last month
• Nyandwi / MultiModal-Learning-Research
  A curated resources on what's happening in multimodal learning. Features recent papers, books, related lectures, and other relevant resou…
  ☆16Updated 2 years ago
• XindiWu / Awesome-Machine-Learning-in-Biomedical-Healthcare-Imaging
  A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by
  ☆69Updated 6 years ago
• AlexSWong / COVID-Net
  Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access in…
  ☆43Updated 2 years ago
• XAITK / xaitk-saliency
  As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm i…
  ☆101Updated 3 months ago
• darwinai / covidnet_ui
  AI-Powered Clinical Decision Support Platform for COVID-19.
  ☆17Updated 2 years ago
• florencejt / fusilli
  A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evalu…
  ☆197Updated 5 months ago
• sayakpaul / Distributed-Training-in-TensorFlow-2-with-AI-Platform
  Contains code to demonstrate distributed training in TensorFlow 2 with AI Platform and custom Docker contains.
  ☆20Updated 4 years ago
• google-deepmind / codoc
  ☆117Updated 2 years ago
• MMIV-ML / fastMONAI
  Simplifying deep learning for medical imaging
  ☆103Updated 3 months ago
• sayedmohamedscu / Vision-language-models-VLM
  vision language models finetuning notebooks & use cases (Medgemma - paligemma - florence .....)
  ☆59Updated 2 months ago
• maragraziani / concept_discovery_svd
  Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…
  ☆14Updated 2 years ago
• medtorch / Q-Aid-Core
  An intuitive platform for deploying the latest discoveries in healthcare AI to everybody's phones. Powered by PyTorch!
  ☆10Updated 5 years ago
• microsoft / BoltzFormer
  Boltzmann Attention Sampling for Image Analysis with Small Objects
  ☆34Updated 4 months ago
• ZhilingYan / GPT4V-Medical-Report
  ☆43Updated last year
• RobKuebler / towards_data_science
  ☆25Updated last year
• LukeWood / reef-net
  ☆24Updated 3 years ago
• sayakpaul / Spatial-Transformer-Networks-with-Keras
  This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
  ☆37Updated 3 years ago
• ariG23498 / involution-tf
  TensorFlow implementation of involution.
  ☆13Updated 4 years ago
• sayakpaul / deit-tf
  Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.
  ☆41Updated 3 years ago
• capjamesg / sam-clip
  Use Grounding DINO, Segment Anything, and CLIP to label objects in images.
  ☆33Updated 2 years ago
• VectorInstitute / cyclops
  A toolkit for evaluating and monitoring AI models in clinical settings
  ☆87Updated last week
• Google-Health / google-health
  ☆106Updated 10 months ago
• rasbt / comparing-automatic-augmentation-blog
  Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment
  ☆31Updated 2 years ago
• torchfl-org / torchfl
  A Python library for rapid prototyping, experimenting, and logging of federated learning using state-of-the-art models and datasets. Buil…
  ☆42Updated last year
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆112Updated 4 years ago
• Digital-Dermatology / SelfClean
  [NeurIPS 2024] 🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
  ☆36Updated 2 months ago