Data Science | Machine Learning with Python for Researchers
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Data Science | Machine Learning with Python for Researchers
31.8K subscribers
Data Science | Machine Learning with Python for Researchers
Adversarial AutoMixup

🖥 Github: https://github.com/jinxins/adversarial-automixup

📕 Paper: https://arxiv.org/pdf/2312.11954v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/cifar-100

✨ Tasks: https://paperswithcode.com/task/classification-1

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PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models 🎄 🎁 🎅 Colab 🥳

🎓 page: https://pi-animator.github.io

📚 paper: https://arxiv.org/abs/2312.13964

🖥 code: https://github.com/open-mmlab/PIA
🥩 OpenXLab: https://openxlab.org.cn/apps/detail/zhangyiming/PiaPia

🥩 colab: https://github.com/camenduru/PIA-colab

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Data Science | Machine Learning with Python for Researchers
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting

🖥 Github: https://github.com/junwuzhang19/repaint123

📕 Paper: https://arxiv.org/pdf/2312.13271v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/nerf

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🌠AnyDoor: Zero-shot Object-level Image Customization

pip install git+https://github.com/cocodataset/panopticapi.git

pip install pycocotools -i https://pypi.douban.com/simple

pip install lvis

🖥 Code: https://github.com/damo-vilab/AnyDoor

🎓 HF: https://huggingface.co/spaces/xichenhku/AnyDoor-online

🔮 Project Page: https://damo-vilab.github.io/AnyDoor-Page/

📚 ArXiv: https://arxiv.org/abs/2307.09481

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Data Science | Machine Learning with Python for Researchers
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Data Science | Machine Learning with Python for Researchers
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms

🖥 Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms

📕 Paper: https://arxiv.org/pdf/2312.14794v1.pdf

✨ Tasks: https://paperswithcode.com/task/information-retrieval

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Data Science | Machine Learning with Python for Researchers
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Data Science | Machine Learning with Python for Researchers
🍏Ferret: Refer and Ground Anything Anywhere at Any Granularity

🖥 Code: github.com/apple/ml-ferret

🎓 Paper: https://arxiv.org/abs/2310.07704

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2.71K viewsedited  
Data Science | Machine Learning with Python for Researchers
🎞ViStripformer (Video-Stripformer)

🖥 Github: https://github.com/pp00704831/ViStripformer

📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf

✨ Tasks: https://paperswithcode.com/task/deblurring

🔥Datasets: https://paperswithcode.com/dataset/gopro
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🐱DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

🖥 Code: https://github.com/Kevin-thu/DiffMorpher

🧪OpenXLab: https://openxlab.org.cn/apps/detail/KaiwenZhang/DiffMorpher

🎓 Colab: https://github.com/camenduru/DiffMorpher-colab

🔮 Project Page: https://kevin-thu.github.io/DiffMorpher_page

📚 ArXiv: https://arxiv.org/abs/2312.07409

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⚡️ MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

🖥 Code: https://github.com/TencentARC/MotionCtrl

🎓 Colab: https://github.com/camenduru/MotionCtrl-colab

🔮 Project Page: https://openxlab.org.cn/apps/detail/camenduru/MotionCtrl

📚 ArXiv: https://arxiv.org/abs/2312.03641

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3.53K views
Data Science | Machine Learning with Python for Researchers
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

🖥 Github: https://github.com/OpenDriveLab/LaneSegNet

📕 Paper: https://arxiv.org/abs/2312.16108v1

🔥Datasets: https://paperswithcode.com/dataset/openlane-v2

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🌹4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency

🖥 Code: https://github.com/VITA-Group/4DGen

🔮 Project: https://vita-group.github.io/4DGen/

📚 ArXiv: https://arxiv.org/abs/2305.06456
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Data Science | Machine Learning with Python for Researchers
✔️ AIJack: Security and Privacy Risk Simulator for Machine Learning

Security and Privacy Risk Simulator for Machine Learning.

pip install git+https://github.com/Koukyosyumei/AIJack

🖥 Code: https://github.com/microsoft/promptbench

🌟 Docs: https://promptbench.readthedocs.io/en/latest/

📚 Paper: https://arxiv.org/abs/2312.07910v1

⚡️ Dataset: https://paperswithcode.com/dataset/mmlu

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⚡️ 500 AI Machine learning Deep learning Computer vision NLP Projects with code

https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

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🎙OpenVoice: Versatile Instant Voice Cloning

🖥 Code: https://github.com/myshell-ai/OpenVoice

📚 Paper: https://arxiv.org/abs/2312.01479

⚡️ Page: https://research.myshell.ai/open-voice

🌟 Colab: https://github.com/camenduru/OpenVoice-colab
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3.46K views
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StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

paper: https://arxiv.org/pdf/2312.12491v1.pdf

source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file

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🦜 DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models

🖥 Code: https://github.com/ali-vilab/dreamtalk

📚 Paper: https://arxiv.org/abs/2312.09767

⚡️ Page: https://dreamtalk-project.github.io

🌟 Colab: https://github.com/camenduru/dreamtalk-colab

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Data Science | Machine Learning with Python for Researchers
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming

🖥 Github: https://github.com/IITB-LEAP-OCR/TEXTRON

📕 Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf

🔥Datasets: https://paperswithcode.com/dataset/docbank

✨ Tasks: https://paperswithcode.com/task/optical-character-recognition

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3.3K viewsedited  
Data Science | Machine Learning with Python for Researchers
GridFormer: Point-Grid Transformer for Surface Reconstruction

Paper:
https://arxiv.org/pdf/2401.02292.pdf

GitHub:
https://github.com/list17/GridFormer

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3.09K viewsedited