⚡️⚡️ SAM v2 is out! ❤️‍🔥❤️‍🔥

✅ #Meta announced SAM 2, the novel unified model for real-time promptable segmentation in images and videos. 6x faster, it's the new SOTA by a large margin. Source Code, Dataset, Models & Demo released under permissive licenses 💙

🔗 Review: https://t.ly/oovJZ

✅ Paper: https://t.ly/sCxMY

✅ Demo: https://sam2.metademolab.com

🔥 Project: ai.meta.com/blog/segment-anything-2/

⭐️ Models: github.com/facebookresearch/segment-anything-2

https://t.me/DataScienceT 🗣

🖥 StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset.

🖥 Github: https://github.com/huochf/StackFLOW

📕 Paper: https://arxiv.org/abs/2407.20545v1

🚀 Dataset: https://paperswithcode.com/dataset/behave

https://t.me/DataScienceT ⭐️

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/Python53

⚡️ EMO-Disentanger

🖥 Github: https://github.com/yuer867/emo-disentanger

📕 Paper: https://arxiv.org/abs/2407.20955v1

🚀 Dataset: https://paperswithcode.com/dataset/emopia

https://t.me/DataScienceT ⭐️

✅ Don't worry about data for your projects anymore!
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👨🏻‍💻 Have you ever thought about what makes artificial intelligence projects and machine learning models work better and smarter? The answer is simple: quality data!

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┌ 💸 MagPie-Ultra
├ 🖥 Pipeline
└ 💰 Dataset

🌐 https://t.me/DataScienceT ⭐️

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No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation

💻 Github: https://github.com/themody/no-learning-rates-needed-introducing-salsa-stable-armijo-line-search-adaptation

📕 Paper: https://arxiv.org/abs/2407.20650v1

✈️ Dataset: https://paperswithcode.com/dataset/cifar-10

🌐 https://t.me/DataScienceT ⭐️

DeepInteraction & DeepInteraction++

🖥 Github: https://github.com/fudan-zvg/deepinteraction

📕 Paper: https://arxiv.org/abs/2408.05075v1

🚀 Dataset: https://paperswithcode.com/dataset/nuscenes

🐋 WHALE — TOKEN, NFT, AND A BRIGHT FUTURE AHEAD 🐋

Exciting News, Friends! 🚀

@whale has just unveiled their new roadmap, and it’s packed with potential! According to their plans, the value of their NFT is set to rise significantly in the near future 🐳📈

And that’s not all! They’re also hosting an airdrop of 10 million $Whale tokens,💰 which you can claim right now!

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🟠 Referral System: Earn tokens by inviting friends to join.
🟠 Winnings (Coming Soon): Every $1 you win = $1Whale!

If you are not with them yet, now is the perfect time to join! 👇

Paper Name: The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Paper: https://arxiv.org/pdf/2408.06292v2.pdf

Code: https://github.com/sakanaai/ai-scientist

🌐 https://t.me/DataScienceT ⭐️

Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2

Paper: https://arxiv.org/pdf/2408.01648v1.pdf

Code: https://github.com/AngeLouCN/SAM-2_Surgical_Video

https://t.me/DataScienceT ⭐️

MooER: LLM-based Speech Recognition and Translation Models from Moore Threads

Paper: https://arxiv.org/pdf/2408.05101v1.pdf

Code: https://github.com/moorethreads/mooer

Datasets: https://github.com/kaldi-asr/kaldi/tree/master/egs/aishell2

https://t.me/DataScienceT ⭐️

UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling

Paper: https://arxiv.org/pdf/2408.04810v1.pdf

Code: https://github.com/facebookresearch/unibench

Datasets: https://www.cs.toronto.edu/~kriz/cifar.html

https://t.me/DataScienceT ⭐️