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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: https://www.robots.ox.ac.uk/~victor/data/MobileBrick/MobileBrick_Mar23.zip

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

https://t.iss.one/DataScienceT

⭐️ 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: https://github.com/AhmedImtiazPrio/SplineCAM

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

⏩ Paper: https://arxiv.org/pdf/2302.12828.pdf

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

https://t.iss.one/DataScienceT

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://t.iss.one/DataScienceT

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://t.iss.one/DataScienceT

💬 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://t.iss.one/DataScienceT

Pandas for Data Science
Learning Path ⋅ Skills: Pandas, Data Science, Data Visualization

https://realpython.com/learning-paths/pandas-data-science/

https://t.iss.one/DataScienceT

Openicl

New open-source toolkit for ICL and LLM evaluation.

pip install openicl

🖥 Github: https://github.com/shark-nlp/openicl

⏩ Paper: https://arxiv.org/abs/2303.02913

⭐️ Dataset: https://paperswithcode.com/dataset/gsm8k

💨 Docs: https://github.com/shark-nlp/openicl#docs

⏩ Examples: https://github.com/Shark-NLP/OpenICL/tree/main/examples

https://t.iss.one/DataScienceT

An important collection of the 15 best machine learning cheat sheets.

مجموعة مهمة الافضل ١٥ ورقة غش في مجال التعلم الآلي.

1- Supervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf

2- Unsupervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf

3- Deep Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf

4- Machine Learning Tips and Tricks

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf

5- Probabilities and Statistics

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf

6- Comprehensive Stanford Master Cheat Sheet

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf

7- Linear Algebra and Calculus

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf

8- Data Science Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf

9- Keras Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf

10- Deep Learning with Keras Cheat Sheet

https://github.com/rstudio/cheatsheets/raw/master/keras.pdf

11- Visual Guide to Neural Network Infrastructures

https://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png

12- Skicit-Learn Python Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

13- Scikit-learn Cheat Sheet: Choosing the Right Estimator

https://scikit-learn.org/stable/tutorial/machine_learning_map/

14- Tensorflow Cheat Sheet

https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf

15- Machine Learning Test Cheat Sheet

https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

✳️ ساهم بنمو مجتمعنا من خلال اضافة الاصدقاء او مشاركة المنشور.

X-Avatar: Expressive Human Avatars

🖥 Github: https://github.com/Skype-line/X-Avatar

⏩ Paper: https://arxiv.org/abs/2303.04805

💨 Dataset: https://github.com/Skype-line/X-Avatar/blob/main/xxx

⏩ Project: https://skype-line.github.io/projects/X-Avatar/

https://t.iss.one/DataScienceT