Pinned Repositories
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
EdgeNeXt
Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications
GroupMamba
Official implementation of paper titled "GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model"
MAVOS
[WACV 2025] Efficient Video Object Segmentation via Modulated Cross-Attention Memory
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
XrayGPT
[BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.
EdgeNeXt
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
Amshaker's Repositories
Amshaker/unetr_plus_plus
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Amshaker/SwiftFormer
[ICCV'23] Official repository of paper SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
Amshaker/GroupMamba
Official implementation of paper titled "GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model"
Amshaker/MAVOS
[WACV 2025] Efficient Video Object Segmentation via Modulated Cross-Attention Memory
Amshaker/Amshaker.github.io
Amshaker/EdgeNeXt
Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications
Amshaker/alpaca_eval
A automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Amshaker/aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
Amshaker/darknet
Convolutional Neural Networks
Amshaker/DDM
Amshaker/Cutie
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
Amshaker/EfficientFormer
EfficientFormerV2 & EfficientFormer(NeurIPs 2022)
Amshaker/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.
Amshaker/Medical_Image_Segmentation
Amshaker/nnFormer
Amshaker/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Amshaker/wekaDeeplearning4j
Weka package for the Deeplearning4j java library
Amshaker/XMem
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Amshaker/XrayGPT
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.
Amshaker/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)
Amshaker/YOLOV3-TF2