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image-segmentation-yolov8

imgaug

Image augmentation for machine learning experiments.

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-yolo3

Training and Detecting Objects with YOLO3

keras-yolo3-1

A Keras implementation of YOLOv3 (Tensorflow backend)

labc_segmentation

Parameters for paper "Deep learning-based segmentation of locally advanced breast cancer on MRI in relation to residual cancer burden: a multi-institutional cohort study"

lstm-unet

lstm_multi_modal_unet

[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"

m3d-cam-plus

This is the backup of the original M3d-Cam repo

mammographic-mass-cad-via-pseudo-color-mammogram-and-mask-r-cnn

Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN

medclip

A multi-modal CLIP model trained on the medical dataset ROCO

mednext

MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).

medsam

Segment Anything in Medical Images

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

motionbert

[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"

neurite

Neural networks toolbox focused on medical image analysis

nndetection

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 were used to develop and evaluate the performance of the proposed method.

nnformer

nnunet

object-detection-using-cnn

A simple single object detection using Convolutional Neural Network, (CNN).

palm

An open-source implementation of Google's PaLM models

palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

piriformcortex

Segmentation of the human Piriform cortex.

platipy

Processing Library and Analysis Toolkit for Medical Imaging in Python

probabilistic-unet-pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

python-3d-image-augmentation

pytorch-capsulenet

An easy-to-follow Pytorch implementation of Hinton's Capsule Network