An implementation of the efficient attention module.
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Nov 30, 2020 - Python
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paper-implementation
Here are 63 public repositories matching this topic...
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
ai ml machine-learning-library papers explanation dialogue-systems interpretability conversational-ai explainable-artificial-intelligence machine-learning-papers explainable-ml xai interpretable-machine-learning explainability paper-implementation conversationalxai
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Aug 3, 2023 - Python
Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
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Aug 22, 2024 - Python
Single-file pytorch implementation of hybrid-SAC
reinforcement-learning openai-gym-environments pytorch-implementation soft-actor-critic parameterised-action-spaces paper-implementation parameterized-action
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Jun 25, 2021 - Python
PyTorch version for the "Dual-Dtream Shallow Networks for Facial Micro-Expression Recognition"
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Mar 27, 2023 - Python
[ACM MM22] Mimicking the Annotation Process for Recognizing the Micro Expressions
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Oct 7, 2022 - Python
Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation
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Jul 22, 2024 - Python
An open source implementation of the paper: "Sequential Diagnosis with Language Models" From Microsoft Built with Swarms Framework
microsoft ai ml multi-agent ehr swarms epic paper-implementation medical-agents swarms-agents swarms-ecosystem healthcare-agennts xray-agents
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Jul 7, 2025 - Python
Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).
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Aug 18, 2023 - Python
Python implementation of Efficient Graph-Based Image Segmentation.
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Mar 11, 2018 - Python
Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechanics and Engineering (CMAME).
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Aug 18, 2023 - Python
Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions. Code for the paper Generating Diverse and Meaningful Captions: Unsupervised Specificity Optimization for Image Captioning (Lindh et al., 2018).
machine-learning research computer-vision deep-learning pytorch image-captioning natural-language-generation fine-tuning multimodal-learning contrastive-loss paper-implementation papers-with-code contrastive-learning fine-tuning-image-captioning
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May 25, 2025 - Python
Scale-recurrent Network for Deep Image Deblurring with neural networks
computer-vision deep-learning image-processing python3 pytorch neural-networks convolutional-neural-networks deblurring paper-implementation
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Feb 20, 2021 - Python
PyTorch implementation of DINO (Self-Distillation with No Labels) from scratch.
computer-vision machine-learning-algorithms object-detection image-segmentation unsupervised-learning self-supervised-learning paper-implementation
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May 13, 2025 - Python
A minimal PyTorch implementation of Flow Matching for Generative Modeling.
pytorch implementation-of-research-paper paper-implementation flow-matching conditional-flow-matching
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Dec 22, 2024 - Python
Keras implementation of You Only Look Once
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Jun 16, 2019 - Python
re-implementaion of "A watermark for Large Language Models" ( https://arxiv.org/abs/2301.10226 )
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Dec 23, 2023 - Python
Python implementation of Selective Search for Object Recognition.
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Mar 17, 2018 - Python
Tensorflow implementation of Fast R-CNN
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Sep 19, 2018 - Python
Deep learning toolkit for building handwritten word recognition system without labeled data
machine-learning ocr deep-learning neural-network pytorch self-training handwriting-recognition handwritten-text-recognition paper-implementation
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Mar 17, 2023 - Python
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