DLeX: AI Python
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هوش‌مصنوعی و برنامه‌نویسی

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میدونستید گوگلی ها برای یافتن بهترین دسر غذاشون یه تحقیقاتی انجام دادن و مقاله هم کردن و تو nips چاپ کردن؟
@ai_python
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StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation

Github

Paper

Model

Demo

Dataset

#مقاله

❇️ @AI_Python
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🤖 DAMO ConvAI

The official repository which contains the codebase for Alibaba DAMO Conversational AI.

⚙️ Github
➡️ Paper
📎 Tasks
🗒 Text-to-SQL Parsing

#مقاله

❇️ @AI_Python
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment

Github

Paper

Dataset

#مقاله

❇️ @AI_Python
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دوره رایگان از محققان شرکت DeepMind و Qualcomm و دانشگاه MIT برگزار میگردد.

Learn category theory foundations from the lens of ML, grounded in concrete papers. Open to all!

Sign up: https://cats.for.ai

#منابع

❇️ @AI_Python
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مهندسین داده
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📚 Weekend Reading

This week brought quite a few interesting papers and resources - we encourage you to invest there some time:

Geometric multimodal representation learning by Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha Farhat, and Marinka Zitnik. A survey of 100+ papers on graphs combined with other modalities and a framework of multi-modal approaches for natural sciences like physical interaction, molecular reasoning, and protein modeling.

Clifford Neural Layers for PDE Modeling by Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta. If you thought you know all the basics from the Geometric Deep Learning Course - here is something more challenging. The authors introduce the ideas from Geometric Algebra into ML tasks, namely, Clifford Algebras that unify numbers, vectors, complex numbers, quaternions, and have additional primitives to incorporate plane and volume segments. The paper gives a great primer on the math and applications. You can also watch a very visual YouTube lecture on Geometric Algebras.

Categories for AI (Cats4AI) - an upcoming open course on Category Theory created by Andrew Dudzik, Bruno Gavranović, João Guilherme Araújo, Petar Veličković, and Pim de Haan. “This course is aimed towards machine learning researchers, but approachable to anyone with a basic understanding of linear algebra and differential calculus. The material is self-contained and all the necessary background will be introduced along the way.” Don’t forget your veggies

#منابع

❇️ @AI_Python
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Text2Light: Zero-Shot Text-Driven HDR Panorama Generation

Text2Light can generate HDR panoramas in 4K+ resolution using free-form texts solely.

conda env create -f environment.yml
conda activate text2light


⚙️ Github
💡 Project
💻 Model
🗒 Paper
🦾 Tutorial

#مقاله
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Robust Speech Recognition via Large-Scale Weak Supervision

Whisper is a general-purpose speech recognition model by Open AI.

pip install git+https://github.com/openai/whisper.git

⚙️ Github
💡 Colab
💻 Model
🗒 Paper
🦾 Dataset
✴️ HABR

#مقاله
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Identity-Aware Hand Mesh Estimation and Personalization from RGB Images

A novel personalization pipeline to calibrate the intrinsic shape parameters using only a few unlabeled RGB images of the subject.

conda create -n IdHandMesh python=3.8  
conda activate IdHandMesh


⚙️Github: https://github.com/deyingk/personalizedhandmeshestimation

📄Paper: https://arxiv.org/abs/2209.10840v1

🗒Dataset: https://paperswithcode.com/dataset/dexycb

#مقاله
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SetFit - Efficient Few-shot Learning with Sentence Transformers

An efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers (ST).

python -m pip install setfit

⚙️ Github
🗒 Paper
📌 Blog
🦾 Model and Dataset

#مقاله