Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation

🖥 Github: https://github.com/philipperemy/n-beats

Paper: https://arxiv.org/abs/1905.10437

➡️ Results: https://github.com/fecet/NBeats-M4

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✔️ Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models (PDAE)

🖥 Github: https://github.com/ckczzj/pdae

Paper: https://arxiv.org/abs/2212.12990v1

➡️ Results: https://paperswithcode.com/dataset/mnist

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🖥 Part-Guided Relational Transformers for Fine-Grained Visual Recognition

🖥 Github: https://github.com/icvteam/part

Paper: https://arxiv.org/abs/2212.13685v1

➡️ Dataset: https://paperswithcode.com/dataset/stanford-cars

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🔥 Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

pip install av2

🖥 Github: https://github.com/argoverse/av2-api

Paper: https://arxiv.org/abs/2301.00493v1

➡️ Dataset: https://github.com/argoverse/av2-api/blob/main/src/av2/datasets/sensor/README.md

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🔥 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


🖥 Github: https://github.com/ToniRV/NeRF-SLAM

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

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

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✔️ TextDenoscriptives: A Python package for calculating a large variety of statistics from text

pip install textdenoscriptives

🖥 Github: https://github.com/HLasse/TextDenoscriptives

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

➡️ Docs: https://github.com/HLasse/TextDenoscriptives

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Text2Poster: Laying out Stylized Texts on Retrieved Images

🖥 Github: https://github.com/chuhaojin/text2poster-icassp-22

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

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PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

🖥 Github: https://github.com/yuxumin/PoinTr#pretrained-models

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

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

✔️ Video: https://youtu.be/mSGphas0p8g

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

🖥 Github: https://github.com/cecret3350/DEA-Net

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

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

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Tracr: Compiled Transformers as a Laboratory for Interpretability

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


🖥 Github: https://github.com/deepmind/tracr

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

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✔️ Ankh ☥: Optimized Protein Language Model Unlocks General-Purpose Modelling

🖥 Github: https://github.com/agemagician/Ankh

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

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Cross-Modal Adaptation with Multimodal Models

conda create -n cross_modal python=3.9

🖥 Github: https://github.com/linzhiqiu/cross_modal_adaptation

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

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

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Using CycleGANs to Generate Realistic STEM Images for Machine Learning

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

🖥 Github: https://github.com/ClarkResearchGroup/stem-learning

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

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