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Artificial Intelligence

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MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

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Github: https://github.com/pwdemars/rl4uc

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

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

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Artificial Intelligence

✔️ MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations 🖥 Github: https://github.com/pwdemars/rl4uc ⏩ Paper: https://github.com/facebookresearch/modem ➡️ Website: https://nicklashansen.github.io/modemrl ArtificialIntelligencedl

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Argoverse 2 API

pip install av2

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

📌 Tbv: https://github.com/johnwlambert/tbv

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

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

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Artificial Intelligence

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Nerf-Art: Text-Driven Neural Radiance Fields Stylization

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

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Github: https://github.com/cassiePython/NeRF-Art

✔️ Project: https://cassiepython.github.io/nerfart/index.html

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

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

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Artificial Intelligence

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

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Github: https://github.com/microsoft/simxns

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

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

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Artificial Intelligence

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Medfusion - Medical Denoising Diffusion Probabilistic Model

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

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Github: https://github.com/mueller-franzes/medfusion

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

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

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Artificial Intelligence

🍪

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

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Github: https://github.com/servicenow/azimuth

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

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

🔧 Demo: https://azimuth-demo.net/

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Artificial Intelligence

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Position-guided Text Prompt for Vision-Language Pre-training

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Github: https://github.com/sail-sg/ptp

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

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

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Artificial Intelligence

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Query-as-context Pre-training for Dense Passage Retrieval

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Github: https://github.com/caskcsg/ir

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

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

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Artificial Intelligence

📎

Open-Domain Multi-Document Summarization

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

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Github: https://github.com/allenai/open-mds

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

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

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Artificial Intelligence

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Goal-oriented Autonomous Driving

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Github: https://github.com/opendrivelab/uniad

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

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

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Artificial Intelligence

🌐

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

   $git clone git@github.com:Yang-Kaixing/SHLE.git

   $cd SHLE

   $pip install -r requirements.txt

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Github: https://github.com/yang-kaixing/shle

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

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Artificial Intelligence

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TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers

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Github: https://github.com/airi-institute/transpath

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

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Artificial Intelligence

✅

Scalable Adaptive Computation for Iterative Generation

$ pip install isab-pytorch

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

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

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

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Artificial Intelligence

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Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

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

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

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

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Artificial Intelligence

🧟‍♂️

A Close Look at Spatial Modeling: From Attention to Convolution

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

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

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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

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

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

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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

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

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

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

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Artificial Intelligence

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Cramming Language Model (Pretraining)

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

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

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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

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

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

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

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Artificial Intelligence

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

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

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

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

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