Artificial Intelligence
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Artificial Intelligence

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Artificial Intelligence
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Artificial Intelligence
SPTS: Single-Point Text Spotting

πŸ–₯ Github: https://github.com/shannanyinxiang/spts

⏩ Paper: https://arxiv.org/abs/2112.07917

➑️ Dataset: https://drive.google.com/file/d/1OSJ-zId2h3t_-I7g_wUkrK-VqQy153Kj/view

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πŸ”₯ Real-Time Dense Monocular SLAM with Neural Radiance Fields

git clone https://github.com/ToniRV/NeRF-SLAM.git --recurse-submodules
git submodule update --init --recursive

πŸ–₯ Github: https://github.com/ToniRV/NeRF-SLAM

⏩ Paper: https://arxiv.org/abs/2210.13641

➑️ Video: https://www.youtube.com/watch?v=-6ufRJugcEU

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πŸŒ€ HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling

πŸ–₯ Github: https://github.com/facebookresearch/hyperreel

⏩ Paper: https://arxiv.org/abs/2301.02238

➑️ Video: https://hyperreel.github.io/figures/hyperreel.mp4

βœ”οΈ Website: https://hyperreel.github.io/

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Artificial Intelligence
⭐️ The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation

πŸ–₯ Github: https://paperswithcode.com/paper/the-cropandweed-dataset-a-multi-modal

⏩ Paper: https://openaccess.thecvf.com/content/WACV2023/html/Steininger_The_CropAndWeed_Dataset_A_Multi-Modal_Learning_Approach_for_Efficient_Crop_WACV_2023_paper.html

➑️ Datasets: https://paperswithcode.com/dataset/cropandweed-dataset

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Artificial Intelligence
βœ”οΈ TextDescriptives: A Python package for calculating a large variety of statistics from text

pip install textdescriptives

πŸ–₯ Github: https://github.com/HLasse/TextDescriptives

⏩ Paper: https://arxiv.org/abs/2301.02057v1

➑️ Docs: https://github.com/HLasse/TextDescriptives

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Artificial Intelligence
Text2Poster: Laying out Stylized Texts on Retrieved Images

πŸ–₯ Github: https://github.com/chuhaojin/text2poster-icassp-22

⏩ Paper: https://arxiv.org/abs/2301.02363v1

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Artificial Intelligence
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

πŸ–₯ Github: https://github.com/yuxumin/PoinTr#pretrained-models

⏩ Paper: https://arxiv.org/abs/2108.08839

➑️ Datasets: https://github.com/yuxumin/PoinTr/blob/master/DATASET.md

βœ”οΈ Video: https://youtu.be/mSGphas0p8g

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Artificial Intelligence
DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

πŸ–₯ Github: https://github.com/cecret3350/DEA-Net

⏩ Paper: https://arxiv.org/abs/2301.04805v1

➑️ Datasets: https://paperswithcode.com/dataset/reside

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Artificial Intelligence
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Proximal Stochastic Polyak

πŸ–₯ Github: https://github.com/fabian-sp/ProxSPS

⏩ Paper: https://arxiv.org/abs/2301.04935v1

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Artificial Intelligence
Tracr: Compiled Transformers as a Laboratory for Interpretability

git clone https://github.com/deepmind/tracr
cd tracr
pip3 install .

πŸ–₯ Github: https://github.com/deepmind/tracr

⏩ Paper: https://arxiv.org/abs/2301.05062v1

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βœ”οΈ Ankh β˜₯: Optimized Protein Language Model Unlocks General-Purpose Modelling

πŸ–₯ Github: https://github.com/agemagician/Ankh

⏩ Paper: https://arxiv.org/abs/2301.06568v1

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Artificial Intelligence
πŸ“Œ Heterogeneous Multi-Robot Reinforcement Learning

pip install vmas

πŸ–₯ Github: https://github.com/proroklab/vectorizedmultiagentsimulator

⏩ Paper: https://arxiv.org/abs/2207.03530

πŸ–₯ Colab: https://colab.research.google.com/github/proroklab/VectorizedMultiAgentSimulator/blob/main/notebooks/VMAS_Use_vmas_environment.ipynb

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Artificial Intelligence
Cross-Modal Adaptation with Multimodal Models

conda create -n cross_modal python=3.9

πŸ–₯ Github: https://github.com/linzhiqiu/cross_modal_adaptation

⏩ Paper: https://arxiv.org/abs/2301.06267v2

➑️ Dataset: https://paperswithcode.com/dataset/esc-50

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Artificial Intelligence
Using CycleGANs to Generate Realistic STEM Images for Machine Learning

git clone https://github.com/ClarkResearchGroup/stem-learning.git

πŸ–₯ Github: https://github.com/ClarkResearchGroup/stem-learning

⏩ Paper: https://arxiv.org/abs/2301.07743v1

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Artificial Intelligence
πŸ–₯ Deep BCI SW ver. 1.0 is released.

πŸ–₯ Github: https://github.com/DeepBCI/Deep-BCI

⏩ Paper: https://arxiv.org/abs/2301.08448v1

➑️ Project: https://deepbci.korea.ac.kr/

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Artificial Intelligence
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models

πŸ–₯ Github: https://github.com/microsoft/SafeNLP

⏩ Paper: https://arxiv.org/abs/2301.09211v1

➑️ Dataset: https://paperswithcode.com/dataset/https-github-com-microsoft-safenlp

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Artificial Intelligence
βš”οΈ Geometric GNN Dojo

πŸ–₯ Github: https://github.com/chaitjo/geometric-gnn-dojo

⏩ Paper: https://arxiv.org/abs/2301.09308v1

➑️ Dataset: https://paperswithcode.com/dataset/cluster

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Artificial Intelligence
A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction

πŸ–₯ Github: https://github.com/hustvl/saunet

⏩ Paper: https://arxiv.org/abs/2301.10208v1

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Artificial Intelligence
Distilling Cognitive Backdoor Patterns within an Image

πŸ–₯ Github: https://github.com/HanxunH/CognitiveDistillation

⏩ Paper: https://arxiv.org/abs/2301.10908v1

➑️Dataset: https://paperswithcode.com/dataset/celeba

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Artificial Intelligence
Koopman neural operator as a mesh-free solver of non-linear partial differential equations

pip install koopmanlab

πŸ–₯ Github: https://github.com/koopman-laboratory/koopmanlab

⏩ Paper: https://arxiv.org/abs/2301.10022v1

➑️Dataset: https://drive.google.com/drive/folders/1UnbQh2WWc6knEHbLn-ZaXrKUZhp7pjt-

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Artificial Intelligence
πŸ”₯ Applied Deep Learning Course

πŸ–₯ Github: https://github.com/maziarraissi/Applied-Deep-Learning

⏩ Paper: https://arxiv.org/pdf/2301.11316.pdf

➑️Videos: https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4

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