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Artificial Intelligence
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Artificial Intelligence

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Artificial Intelligence
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Artificial Intelligence
✅ Scalable Adaptive Computation for Iterative Generation

$ pip install isab-pytorch

🖥 Github: https://github.com/lucidrains/isab-pytorch

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

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

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Artificial Intelligence
⭐️ Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

🖥 Github: https://github.com/zhichao-lu/robust-residual-network

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

➡️ Сheckpoints: https://github.com/zhichao-lu/robust-residual-network/blob/main

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🧟‍♂️ A Close Look at Spatial Modeling: From Attention to Convolution

🖥 Github: https://github.com/ma-xu/fcvit

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

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

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Artificial Intelligence
📝 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

🖥 Github: https://github.com/RUCAIBox/TextBox

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

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

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


🖥 Github: https://github.com/shanghai-digital-brain-laboratory/bdm-db1

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

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

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Artificial Intelligence
⭐️ Cramming Language Model (Pretraining)

🖥 Github: https://github.com/jonasgeiping/cramming

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

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

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Artificial Intelligence
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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Artificial Intelligence
🖥 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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Artificial Intelligence
🔥 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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Artificial Intelligence
Panoptic-PartFormer ECCV-2022

🖥 Github: https://github.com/lxtgh/panoptic-partformer

⏩ Paper: https://arxiv.org/abs/2301.00954v1

➡️ Dataset: https://paperswithcode.com/dataset/cityscapes

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Artificial Intelligence
SPTS: Single-Point Text Spotting

🖥 Github: https://github.com/shannanyinxiang/spts

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

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

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

🖥 Github: https://github.com/facebookresearch/hyperreel

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

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

✔️ Website: https://hyperreel.github.io/

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

🖥 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

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

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Artificial Intelligence
✔️ 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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Artificial Intelligence
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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Artificial Intelligence
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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Proximal Stochastic Polyak

🖥 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 .

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

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

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