Machine Learning on Geographical Data
#Geodata #ML #MachineLearning #Python
#AI #DataScience #artificialIntelligence
https://reconshell.com/machine-learning-on-geographical-data/
#Geodata #ML #MachineLearning #Python
#AI #DataScience #artificialIntelligence
https://reconshell.com/machine-learning-on-geographical-data/
Entity Tagging: Extracting Entities in Text Without Mention Supervision
Github: https://github.com/facebookresearch/groov
Paper: https://arxiv.org/abs/2209.06148v1
Model: https://github.com/adymaharana/storydalle/blob/main/MODEL_CARD.MD
Dataset: http://manikvarma.org/downloads/XC/XMLRepository.html
Github: https://github.com/facebookresearch/groov
Paper: https://arxiv.org/abs/2209.06148v1
Model: https://github.com/adymaharana/storydalle/blob/main/MODEL_CARD.MD
Dataset: http://manikvarma.org/downloads/XC/XMLRepository.html
GitHub
GitHub - facebookresearch/GROOV: Code for "Open Vocabulary Extreme Classification Using Generative Models"
Code for "Open Vocabulary Extreme Classification Using Generative Models" - facebookresearch/GROOV
🤖 DAMO ConvAI
The official repository which contains the codebase for Alibaba DAMO Conversational AI.
⚙️ Github
➡️ Paper
📎 Tasks
🗒 Text-to-SQL Parsing
#مقاله
❇️ @AI_Python
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
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
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
👍3
Robust Online Allocation with Dual Mirror Descent
http://ai.googleblog.com/2022/09/robust-online-allocation-with-dual.html
http://ai.googleblog.com/2022/09/robust-online-allocation-with-dual.html
research.google
Robust Online Allocation with Dual Mirror Descent
Posted by Santiago Balseiro, Staff Research Scientist, Google Research, and Associate Professor at Columbia University, and Vahab Mirrokni, Disting...
📚 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
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
👍4
Real-time Online Video Detection with Temporal Smoothing Transformers
⚙️ Github
🗒 Paper
🦾 Dataset
#مقاله
git clone --recursive git@github.com:zhaoyue-zephyrus/TeSTra.git
⚙️ Github
🗒 Paper
🦾 Dataset
#مقاله
GitHub
GitHub - zhaoyue-zephyrus/TeSTra: Code for ECCV2022 "Real-time Online Video Detection with Temporal Smoothing Transformers"
Code for ECCV2022 "Real-time Online Video Detection with Temporal Smoothing Transformers" - zhaoyue-zephyrus/TeSTra
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افزونه گوگل کروم، برای فعال نگه داشتن سشن colab
https://chrome.google.com/webstore/detail/colab-alive/eookkckfbbgnhdgcbfbicoahejkdoele?hl=en-GB
https://chrome.google.com/webstore/detail/colab-alive/eookkckfbbgnhdgcbfbicoahejkdoele?hl=en-GB
Google
Colab Alive - Chrome Web Store
Keep your Colab tabs alive with this nifty extension!
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
Text2Light can generate HDR panoramas in 4K+ resolution using free-form texts solely.
⚙️ Github
💡 Project
💻 Model
🗒 Paper
🦾 Tutorial
#مقاله
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
GitHub
GitHub - FrozenBurning/Text2Light: [SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
[SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation - GitHub - FrozenBurning/Text2Light: [SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
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Robust Speech Recognition via Large-Scale Weak Supervision
Whisper is a general-purpose speech recognition model by Open AI.
⚙️ Github
💡 Colab
💻 Model
🗒 Paper
🦾 Dataset
✴️ HABR
#مقاله
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
GitHub
GitHub - openai/whisper: Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision - openai/whisper
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VToonify: Controllable High-Resolution Portrait Video Style Transfer
⚙️ Github
💡 Colab
💻 Project
🗒 Paper
🦾 Dataset
🎞 Video
#مقاله
git clone https://github.com/williamyang1991/VToonify.git
cd VToonify
⚙️ Github
💡 Colab
💻 Project
🗒 Paper
🦾 Dataset
🎞 Video
#مقاله
GitHub
GitHub - williamyang1991/VToonify: [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer - williamyang1991/VToonify
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.
⚙️Github: https://github.com/deyingk/personalizedhandmeshestimation
📄Paper: https://arxiv.org/abs/2209.10840v1
🗒Dataset: https://paperswithcode.com/dataset/dexycb
#مقاله
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
👍2
SetFit - Efficient Few-shot Learning with Sentence Transformers
An efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers (ST).
⚙️ Github
🗒 Paper
📌 Blog
🦾 Model and Dataset
#مقاله
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
GitHub
GitHub - huggingface/setfit: Efficient few-shot learning with Sentence Transformers
Efficient few-shot learning with Sentence Transformers - huggingface/setfit
On Efficient Reinforcement Learning for Full-length Game of StarCraft II
In this work, we investigate a set of RL techniques for the full-length game of StarCraft II
⚙️Github: https://github.com/liuruoze/mini-AlphaStar
📄Paper: https://arxiv.org/abs/2209.11553v1
🗒HierNet-SC2: https://github.com/liuruoze/hiernet-sc2
#مقاله
In this work, we investigate a set of RL techniques for the full-length game of StarCraft II
⚙️Github: https://github.com/liuruoze/mini-AlphaStar
📄Paper: https://arxiv.org/abs/2209.11553v1
🗒HierNet-SC2: https://github.com/liuruoze/hiernet-sc2
#مقاله
GitHub
GitHub - liuruoze/mini-AlphaStar: (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar…
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intellige...
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Data science is not about:
• Using the latest tools
• Plotting the best graphs
• Building the best ML model
• Having the fancy title "Data Scientist"
Data science is about:
• Understanding the business problem
• Being curious to understand the data
• Getting insights from data to solve the problem
• Convincing stakeholders to take action
Remember,
You're a problem solver, Get the foundation right.
• Using the latest tools
• Plotting the best graphs
• Building the best ML model
• Having the fancy title "Data Scientist"
Data science is about:
• Understanding the business problem
• Being curious to understand the data
• Getting insights from data to solve the problem
• Convincing stakeholders to take action
Remember,
You're a problem solver, Get the foundation right.
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