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Analyze who cites you, where, and how—one-click impact report for grants, tenure, and academic green cards
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
A playbook for systematically maximizing the performance of deep learning models.
Multi-Planar UNet for autonomous segmentation of 3D medical images
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Clean Code in Python, Second Edition, published by [Packt]
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
Uplift modeling and causal inference with machine learning algorithms
Implementations of recent research prototypes/demonstrations using MONAI.
Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images
Python solutions to exercises and tests at http://codility.com/
A collection of useful python data structures, tricks, and must-knows for coding interviews
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
[IEEE TMI] Official Implementation for UNet++
Parallelized Mutual Information based Feature Selection module.
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
Workflows and interfaces for neuroimaging packages
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
Scripts for the preprocessing of LIDC-IDRI data
AI-based pathology predicts origins for cancers of unknown primary - Nature
Medical imaging processing for AI applications.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…