amshaker Goto Github PK

alpaca_eval

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

amshaker.github.io

aot-benchmark

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

darknet

Convolutional Neural Networks

ddm

edgenext

Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

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.

mavos

Efficient Video Object Segmentation via Modulated Cross-Attention Memory

medical_image_segmentation

nnformer

swiftformer

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

unetr_plus_plus

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

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