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palm-rlhf-pytorch

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

picai_baseline

Baseline AI models for 3D csPCa detection/diagnosis in bpMRI

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

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-unet

Tunable U-Net implementation in PyTorch

pytorch-unet-1

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytorch_stn

pytorch STN implement for CUB200 dataset

pytorch_yolov4

PyTorch implementation of YOLOv4

raven2_sim

A RAVEN II Simulator (works with no robotic hardware)

resunet

Pytorch implementation of ResUnet and ResUnet ++

robotinkerquest

roc-star

Loss function which directly targets ROC-AUC

rt-2

Democratization of RT-2 "RT-2: New model translates vision and language into action"

segcaps

Official Implementation of the Paper "Capsules for Object Segmentation".

segloss

A collection of loss functions for medical image segmentation

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-caption-anything

[CVPR 24] The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloading the trained model checkpoints, and example notebooks / gradio demo that show how to use the model.

segmentanyrgbd

Segment Any RGBD

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segmentation_uncertainty

segwithdistmap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study