Artificial Intelligence
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Artificial Intelligence

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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

@ArtificialIntelligencedl
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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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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

ArtificialIntelligencedl
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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

ArtificialIntelligencedl
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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
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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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⭐ 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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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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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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⭐️ 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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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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πŸ“Ž Open-Domain Multi-Document Summarization

pip install "git+https://github.com/allenai/open-mds.git"

πŸ–₯ Github: https://github.com/allenai/open-mds

⏩ Paper: https://arxiv.org/abs/2212.10526v1

➑️ Dataset: https://paperswithcode.com/dataset/multi-news

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⭐ Goal-oriented Autonomous Driving

πŸ–₯ Github: https://github.com/opendrivelab/uniad

⏩ Paper: https://arxiv.org/abs/2212.10156v1

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

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🌐 SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Esimation

$git clone [email protected]:Yang-Kaixing/SHLE.git

$cd SHLE

$pip install -r requirements.txt


πŸ–₯ Github: https://github.com/yang-kaixing/shle

⏩ Paper: https://arxiv.org/abs/2212.11538v1

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⭐️ TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers

πŸ–₯ Github: https://github.com/airi-institute/transpath

⏩ Paper: https://arxiv.org/abs/2212.11730v1

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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

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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

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