Amshaker

unetr_plus_plus

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

SwiftFormer

[ICCV'23] Official repository of paper SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

MAVOS

Efficient Video Object Segmentation via Modulated Cross-Attention Memory

Amshaker.github.io

EdgeNeXt

Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

alpaca_eval

A automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

aot-benchmark

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

darknet

Convolutional Neural Networks

DDM

EfficientFormer

EfficientFormerV2 & EfficientFormer(NeurIPs 2022)

groundingLMM

Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

Medical_Image_Segmentation

nnFormer

wekaDeeplearning4j

Weka package for the Deeplearning4j java library

XrayGPT

XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

yet-another-retnet

A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (https://arxiv.org/pdf/2307.08621.pdf)

YOLOV3-TF2