An implementation of the efficient attention module.
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Updated
Nov 30, 2020 - Python
An implementation of the efficient attention module.
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
Deep learning research implemented on notebooks using PyTorch.
Single-file pytorch implementation of hybrid-SAC
PyTorch version for the "Dual-Dtream Shallow Networks for Facial Micro-Expression Recognition"
Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"
[ACM MM22] Mimicking the Annotation Process for Recognizing the Micro Expressions
Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation
Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).
Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.
Python implementation of Efficient Graph-Based Image Segmentation.
Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechanics and Engineering (CMAME).
A paper implementation and tutorial from scratch combining various great resources for implementing Transformers discussesd in Attention in All You Need Paper for the task of German to English Translation.
Scale-recurrent Network for Deep Image Deblurring with neural networks
Keras implementation of You Only Look Once
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing
Tensorflow implementation of Fast R-CNN
re-implementaion of "A watermark for Large Language Models" ( https://arxiv.org/abs/2301.10226 )
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