Artificial Intelligence
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Artificial Intelligence

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βœ… Scalable Adaptive Computation for Iterative Generation

$ pip install isab-pytorch

πŸ–₯ Github: https://github.com/lucidrains/isab-pytorch

⏩ Paper: https://arxiv.org/abs/2212.11972v1

➑️ Dataset: https://paperswithcode.com/dataset/kinetics-600

ArtificialIntelligencedl
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⭐️ Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

πŸ–₯ Github: https://github.com/zhichao-lu/robust-residual-network

⏩ Paper: https://arxiv.org/abs/2212.11005v1

➑️ Бheckpoints: https://github.com/zhichao-lu/robust-residual-network/blob/main

ArtificialIntelligencedl
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πŸ§Ÿβ€β™‚οΈ A Close Look at Spatial Modeling: From Attention to Convolution

πŸ–₯ Github: https://github.com/ma-xu/fcvit

⏩ Paper: https://arxiv.org/abs/2212.12552

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

ArtificialIntelligencedl
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πŸ“ TextBox 2.0: A Text Generation Library with Pre-trained Language Models

git clone https://github.com/RUCAIBox/TextBox.git && cd TextBox
bash install.sh


πŸ–₯ Github: https://github.com/RUCAIBox/TextBox

⏩ Paper: https://arxiv.org/abs/2212.13005

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

ArtificialIntelligencedl
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On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective


πŸ–₯ Github: https://github.com/shanghai-digital-brain-laboratory/bdm-db1

⏩ Paper: https://arxiv.org/abs/2212.12669v1

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

ArtificialIntelligencedl
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⭐️ Cramming Language Model (Pretraining)

πŸ–₯ Github: https://github.com/jonasgeiping/cramming

⏩ Paper: https://arxiv.org/abs/2212.14034v1

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

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

πŸ–₯ Github: https://github.com/philipperemy/n-beats

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

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

ArtificialIntelligencedl
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βœ”οΈ Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models (PDAE)

πŸ–₯ Github: https://github.com/ckczzj/pdae

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

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

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πŸ–₯ Part-Guided Relational Transformers for Fine-Grained Visual Recognition

πŸ–₯ Github: https://github.com/icvteam/part

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

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

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πŸ”₯ Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

pip install av2

πŸ–₯ Github: https://github.com/argoverse/av2-api

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

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

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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

ArtificialIntelligencedl
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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

ArtificialIntelligencedl
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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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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

ArtificialIntelligencedl
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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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