ML Research Hub – Telegram
ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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🧩 Building LEGO for 3D Reconstruction on Mobile Devices

A novel data capturing and 3D annotation pipeline in MobileBrick without relying on expensive 3D scanners.

🖥 Github: https://github.com/ActiveVisionLab/MobileBrick

Paper: https://arxiv.org/abs/2303.01932

⭐️ Dataset: http://www.robots.ox.ac.uk/~victor/data/MobileBrick/MobileBrick_Mar23.zip

💨 Project: https://code.active.vision/MobileBrick/

https://news.1rj.ru/str/DataScienceT
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Ultra fast ControlNet with 🧨 Diffusers

ControlNet provides a minimal interface allowing users to customize the generation process up to a great extent.

🤗 Hugging face blog: https://huggingface.co/blog/controlnet

🖥 Colab: https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/controlnet.ipynb

🖥 Github: https://github.com/lllyasviel/ControlNet

Paprer: https://arxiv.org/abs/2302.05543

https://news.1rj.ru/str/DataScienceT
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⭐️ SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries, CVPR 2023

Exact method for computing partitions of a Deep Neural Network

🖥 Github: http://github.com/AhmedImtiazPrio/SplineCAM

🖥 Colab: https://bit.ly/splinecam-demo

Paper: http://arxiv.org/pdf/2302.12828.pdf

⭐️ Project: http://imtiazhumayun.github.io/splinecam

https://news.1rj.ru/str/DataScienceT
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Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR 2023)

🖥 Github: https://github.com/csmile-1006/preferencetransformer

Paper: https://arxiv.org/abs/2303.00957v1

https://news.1rj.ru/str/DataScienceT
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Handwritten Digit Recognition with LeNet5 Model in PyTorch

by Adrian Tam on March 8, 2023 in Deep Learning with PyTorch

🔗: https://machinelearningmastery.com/handwritten-digit-recognition-with-lenet5-model-in-pytorch

https://news.1rj.ru/str/DataScienceT
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💬 GLIGEN: Open-Set Grounded Text-to-Image Generation

GLIGEN’s zero-shot performance on COCO and LVIS outperforms that of existing supervised layout-to-image baselines by a large margin. Code comming soon.

⭐️ Project: https://gligen.github.io/

⭐️ Demo: https://aka.ms/gligen

✅️ Paper: https://arxiv.org/abs/2301.07093

🖥 Github: https://github.com/gligen/GLIGEN

https://news.1rj.ru/str/DataScienceT
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