Artificial Intelligence
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Artificial Intelligence

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Artificial Intelligence
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Artificial Intelligence
πŸ”˜ GRiT: A Generative Region-to-text Transformer for Object Understanding

πŸ–₯ Github: https://github.com/JialianW/GRiT

πŸ—’ Paper: https://arxiv.org/abs/2212.00280v1
https://arxiv.org/abs/2212.00280v1

➑️ Dataset: https://github.com/JialianW/GRiT/blob/master/datasets/DATASETS.md

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Artificial Intelligence
πŸ–₯ MGTANet

A novel 3D object detection architecture, which can encode LiDAR point cloud sequences acquired by multiple successive scans.

πŸ–₯ Github: https://github.com/hyjhkoh/mgtanet

πŸ“Œ Project: https://sites.google.com/view/junhokoh/aaai2023?authuser=0

πŸ—’ Paper: https://arxiv.org/abs/2212.00442v1

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

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Artificial Intelligence
πŸ’¨ Improving Zero-Shot Models with Label Distribution Priors

πŸ–₯ Github: https://github.com/jonkahana/clippr

πŸ—’ Paper: https://arxiv.org/abs/2212.00784v1

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

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🌐 MatDesINNe/iPage

πŸ–₯ Github: https://github.com/jxzhangjhu/MatDesINNe

πŸ—’ Paper: https://arxiv.org/abs/2212.01016v1

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GitHub - jxzhangjhu/MatDesINNe: Inverse materials design via invertible neural networks
Inverse materials design via invertible neural networks - GitHub - jxzhangjhu/MatDesINNe: Inverse materials design via invertible neural networks
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Artificial Intelligence
βœ… Scale And Relation Aware Siamese Network for Change Detection

πŸ–₯ Github: https://github.com/f64051041/saras-net

πŸ—’ Paper: https://arxiv.org/abs/2212.01287v1

➑️ Weights: https://drive.google.com/file/d/1Gs6iYQcZI1Jm4NhthCwWI2olbO-bpvTd/view?usp=share_link

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Artificial Intelligence
⭐️ RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning


πŸ–₯ Github: https://github.com/tencent-ailab/rlogist

πŸ—’ Paper: https://arxiv.org/abs/2212.01737v1

➑️ Dataset: https://paperswithcode.com/dataset/nus-wide

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Artificial Intelligence
▢️ Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network

πŸ–₯ Github: https://github.com/seominseok0429/w4c22-simple-baseline-for-weather-forecasting-using-spatiotemporal-context-aggregation-network

πŸ—’ Paper: https://arxiv.org/abs/2212.02952v1

➑️ Data: https://www.iarai.ac.at/weather4cast/get-data-2022/

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Artificial Intelligence
πŸ”Ό IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation

πŸ–₯ Github: https://github.com/shendu0321/incepformer

βœ”οΈ Project: https://github.com/shendu0321/IncepFormer

πŸ—’ Paper: https://arxiv.org/abs/2212.03035v1

➑️ Data: https://paperswithcode.com/dataset/cityscapes

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Artificial Intelligence
πŸ”₯ C-VTON: Context-Driven Image-Based Virtual Try-On Network

πŸ–₯ Github: https://github.com/benquick123/c-vton

πŸ—’ Paper: https://arxiv.org/abs/2212.04437v1

πŸ“ Dataset: https://paperswithcode.com/dataset/viton-hd

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Artificial Intelligence
πŸ›  Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks

git clone https://github.com/Graph-Learning-Benchmarks/gli.git
cd gli
pip install -e .

πŸ–₯ Github: https://github.com/graph-learning-benchmarks/gli

⏩ Paper: https://arxiv.org/abs/2212.04537v1

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

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Artificial Intelligence
➑️ Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem

pip install rl4uc

πŸ–₯ Github: https://github.com/pwdemars/rl4uc

⏩ Paper: https://arxiv.org/abs/2212.06001v1

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

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Artificial Intelligence
βœ”οΈ MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

πŸ–₯ Github: https://github.com/pwdemars/rl4uc

⏩ Paper: https://github.com/facebookresearch/modem

➑️ Website: https://nicklashansen.github.io/modemrl

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Artificial Intelligence
Artificial Intelligence
βœ”οΈ MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations πŸ–₯ Github: https://github.com/pwdemars/rl4uc ⏩ Paper: https://github.com/facebookresearch/modem ➑️ Website: https://nicklashansen.github.io/modemrl ArtificialIntelligencedl
πŸ’¨ Argoverse 2 API

pip install av2

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

πŸ“Œ Tbv: https://github.com/johnwlambert/tbv

⏩ Paper: https://arxiv.org/abs/2212.07312v1

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

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Artificial Intelligence
πŸ–₯ Nerf-Art: Text-Driven Neural Radiance Fields Stylization

git clone https://github.com/cassiePython/NeRF-Art

πŸ–₯ Github: https://github.com/cassiePython/NeRF-Art

βœ”οΈ Project: https://cassiepython.github.io/nerfart/index.html

⏩ Paper: https://arxiv.org/abs/2212.08070

➑️ Dataset: https://drive.google.com/drive/folders/12zOhjv4CrUC-z3n4uF-qHNrT7doZcsVA

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Artificial Intelligence
⭐ MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers

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

⏩ Paper: https://arxiv.org/abs/2212.07841v1

➑️ Dataset: https://paperswithcode.com/dataset/natural-questions

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Artificial Intelligence
πŸ’¨ Medfusion - Medical Denoising Diffusion Probabilistic Model

python -m venv venv
source venv/bin/activate
pip install -e .

πŸ–₯ Github: https://github.com/mueller-franzes/medfusion

⏩ Paper: https://arxiv.org/abs/2212.07501v1

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

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Artificial Intelligence
πŸͺ Azimuth

Azimuth, an open-source dataset and error analysis tool for text classification, with love from ServiceNow.

pip install gdown
make download_demo
make CFG_PATH=/config/development/clinc/conf.json launch

πŸ–₯ Github: https://github.com/servicenow/azimuth

⏩ Paper: https://arxiv.org/abs/2212.08216v1

➑️ Docs: https://servicenow.github.io/azimuth

πŸ”§ Demo: https://azimuth-demo.net/

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Artificial Intelligence
⭐️ Position-guided Text Prompt for Vision-Language Pre-training

πŸ–₯ Github: https://github.com/sail-sg/ptp

⏩ Paper: https://arxiv.org/abs/2212.09737v1

➑️ Dataset: https://paperswithcode.com/dataset/visual-genome

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Artificial Intelligence
βœ”οΈ Query-as-context Pre-training for Dense Passage Retrieval

πŸ–₯ Github: https://github.com/caskcsg/ir

⏩ Paper: Query-as-context Pre-training for Dense Passage Retrieval

➑️ Dataset: https://paperswithcode.com/dataset/visual-genome

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