Invertible Neural Networks for Graph Prediction

Github: https://github.com/hamrel-cxu/invertible-graph-neural-network-ignn

Paper: https://arxiv.org/abs/2206.01163v1

@Machine_learn

Quantum Advantage in Learning from Experiments


https://ai.googleblog.com/2022/06/quantum-advantage-in-learning-from.html

@Machine_learn

End-to-end Generative Pre-training for Multimodal Video Captioning


https://ai.googleblog.com/2022/06/end-to-end-generative-pre-training-for.html

@Machine_learn

The StatQuest Illustrated Guide To Machine Learning

by stamphet phd ,josh

The StatQuest Illustrated Guide To Machine Learning by stamphet phd ,josh

#book _req @Raminmousa

LIMoE: Learning Multiple Modalities with One Sparse Mixture of Experts Model


https://ai.googleblog.com/2022/06/limoe-learning-multiple-modalities-with.html

@Machine_learn

UniSRec

The proposed approach utilizes the associated description text of items to learn transferable representations across different recommendation scenarios.

Github: https://github.com/rucaibox/unisrec

Paper: https://arxiv.org/abs/2206.05941v1

Google Drive: https://drive.google.com/drive/folders/1Uik0fMk4oquV_bS9lXTZuExAYbIDkEMW?usp=sharing

@Machine_learn

يكي از مهم ترين چالش هاي طبقه بندي سند اين كه مدل ها به صورت ٢ بعدي به متن و طبقه بندي ان مي پردازند، در واقع مكان قرار گيري جمله در سند كاملا ناديده گرفته ميشه. در اين مقاله ساختار تنسور سه بعدي را پيشنهاد دادم كه جملات در سند، كلمات در جملات و بردار تعبيه شده ي ان ها را در نظر ميگيره.
به زودي فايل كامل مقاله رو در كانال ميزارم و تقريبا فرايند ثبتش تموم شده.

@Raminmousa

Identifying Disfluencies in Natural Speech


https://ai.googleblog.com/2022/06/identifying-disfluencies-in-natural.html

@Machine_learn

DEEP LEARNING INTERVIEWS REAL-WORLD DEEP LEARNING INTERVIEW PROBLEMS & SOLUTIONS
#book #DL

book

@Machine_learn

link: https://arxiv.org/pdf/2201.00650.pdf

Deep Learning with Python
Second Edition Version 4
#book #DL #python
@Machine_learn

Enabling Creative Expression with Concept Activation Vectors


https://ai.googleblog.com/2022/07/enabling-creative-expression-with.html

@Machine_learn

👁‍🗨 CVNets: A library for training computer vision networks

Improved model, MobileViTv2, is state-of-the-art on several mobile vision tasks, including ImageNet object classification and MS-COCO object detection.

Github: https://github.com/apple/ml-cvnets

Examples: https://github.com/apple/ml-cvnets/blob/main/docs/source/en/models

Paper: https://arxiv.org/abs/2206.02680v1

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

@Machine_learn

عيد الضحي مبارك
كل عام و انتم بخير

@Machine_learn

Contextual Rephrasing in Google Assistant


https://ai.googleblog.com/2022/05/contextual-rephrasing-in-google.html

@Machine_learn

PySpark & Spark SQL
Spark SQL is Apache Spark's #Cheat_Sheet @Machine_learn

spaCy #Cheat_Sheet @Machine_learn

Big Data: New Tricks for Econometrics #Book @Machine_learn

Natural Language Processing with Python & nltk Cheat Sheet #Cheat_Sheet @Machine_learn

Rewriting Image Captions for Visual Question Answering Data Creation


https://ai.googleblog.com/2022/07/rewriting-image-captions-for-visual.html

@Machine_learn

Temperature change (1880-2021) 🤯
@Machine_learn