Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

🖥 Github: https://github.com/opengvlab/video-mamba-suite

📕 Paper: https://arxiv.org/abs/2403.09626v1

❤️‍🔥 Dataset: https://paperswithcode.com/dataset/egoschema

✅ Telegram: https://t.iss.one/DataScienceT

😏 Grok-1 LLM from Elon Musk.

Grok-1 is a mixture of 314B size experts trained from scratch by xAI.

License: Apache 2.0

Grok-1 weights available on Brazzer

😻 Model : https://dagshub.com/xai/grok-1
👻 Page : https://x.ai/blog/grok-os
🫨 Code : https://github.com/xai-org/grok-1
😭 Hugging face: https://huggingface.co/xai-org/grok-1

✅ Telegram: https://t.iss.one/DataScienceT

🟢 MeloTTS is a high-quality multi-lingual text-to-speech library

Mellott is one of the best open source text-to-speech libraries that supports multiple languages.

🟢 Github
🟢 Project
🟢 Docs

✅ Telegram: https://t.iss.one/DataScienceT

🎳 Supervision: reusable computer vision tools

Supervision - received another update.

This is an open source library for various computer vision tasks for object tracking.

Over 2000 commits, over 500 PRs and over 50 contributors.

pip install supervision

🏆 Github :
🏆 Project
🏆 Colab
🏆 Supervision Cookbooks

✅ Telegram: https://t.iss.one/DataScienceT

📝 Tutorial on survival modeling with applications to omics data

📕Journal: Bioinformatics (I.F.= 5.8)
🗓 Publish year: March, 2024

🧑‍💻Authors: Zhi Zhao, John Zobolas, Manuela Zucknick, Tero Aittokallio
➡️ University: University of Oslo - Oslo University Hospital, Norway

📎 Study the paper
🤓 Step-by-step R tutorial

✅ Telegram: https://t.iss.one/DataScienceT

🆗 One-Step Image Translation with Text-to-Image Models

CycleGAN-Turbo outperforms existing GAN and diffusion based methods for various image modification tasks, such as day to night conversion, adding/removing weather effects such as fog, snow and rain, etc.

💐 Paper : https://arxiv.org/abs/2403.12036

⭐️ Code : https://github.com/GaParmar/img2img-turbo

👍 Demo : https://huggingface.co/spaces/gparmar/img2img-turbo-sketch

✅ Telegram: https://t.iss.one/DataScienceT

🟢 FaceXFormer: Unified Face-Transformer

👉 FaceXFormer, the first unified transformer for facial analysis: face parsing, landmark detection, head pose, attributes recognition, age, gender, race, and landmarks.

👉 Review: https://t.ly/MfAFI

👉 Paper: https://arxiv.org/pdf/2403.12960.pdf

🤨 Project: kartik-3004.github.io/facexformer_web/

😏 Code: github.com/Kartik-3004/facexformer

✅ Telegram: https://t.iss.one/DataScienceT

[CVPR 2024] Diversity-aware Channel Pruning for StyleGAN Compression

🖥 Github: https://github.com/jiwoogit/dcp-gan

📕 Paper: https://arxiv.org/pdf/2403.13548v1.pdf

⭐️ Tasks: https://paperswithcode.com/task/image-generation

🔥Dataset: https://paperswithcode.com/dataset/ffhq

✅ Telegram: https://t.iss.one/DataScienceT

📃Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges

📘 Journal: Molecules (I.F.= 4.6)
🗓 Publish year: 2024

🧑‍💻Authors: by Xin Qi,Yuanchun Zhao,Zhuang Qi,Siyu Hou,...
🏢University: Suzhou University of Science and Technology-Shandong University, China

📎 Study the paper

✅ Telegram: https://t.iss.one/DataScienceT

📢 𝐕𝐨𝐢𝐜𝐞𝐂𝐫𝐚𝐟𝐭: Zero-Shot Speech Editing and Text-to-Speech in the Wild🪄

SotA for both speech editing and text-to-speech, superior to VALL-E, XTTS-v 2, etc.

VoiceCraft works with movies, videos, podcasts, and more.

🟢 Github
🟢 Paper
🟢 Project

✅ Telegram: https://t.iss.one/DataScienceT

🦕 DINO-based Video Tracking 🦖

😏 The Weizmann Institute announced the new SOTA in point-tracking via pre-trained DINO features. Source code announced (not yet released)💙

😏 Revie:w https://t.ly/_GIMT

🤨 Paper: https://lnkd.in/dsGVDcar

🤨 Project: dino-tracker.github.io/

✅ Telegram: https://t.iss.one/DataScienceT

⚡️ StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control

Interactively generate images from scratch with detailed area control using text.

🧠 Code : https://github.com/ironjr/StreamMultiDiffusion

🧠 Paper : https://arxiv.org/abs/2403.09055

✅ Telegram: https://t.iss.one/DataScienceT

📄 Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges

🔖Journal: ACS Omega (I.F.= 4.1)
📅 Publish year: 2024

🧑‍💻Authors: Manoj Kumar Goshisht
💐University: University of Wisconsin-Green Bay, USA

📎 Study the paper

✅ Telegram: https://t.iss.one/DataScienceT

📃 A review on graph neural networks for predicting synergistic drug combinations

📕 Journal:  Artificial Intelligence Review (I.F=12)
🗓 Publish year: 2024

🧑‍💻Authors: Milad Besharatifard, Fatemeh Vafaee
👌 University: University of New South Wales (UNSW), Sydney, Australia

📎 Study the paper

✅ Telegram: https://t.iss.one/DataScienceT

❤️ LaVague: automate automation with Large Action Model framework

Model for generating selenium scripts to automate Internet surfing, actions on websites and parsing 🔥

🌸 Github: https://github.com/lavague-ai/LaVague

🌸 Docs: https://docs.lavague.ai/en/latest/docs/

🌸 Colab: https://colab.research.google.com/github/lavague-ai/LaVague/blob/main/docs/docs/get-started/quick-tour.ipynb

✅ Telegram: https://t.iss.one/DataScienceT

H-SAM

🖥 Github: https://github.com/cccccczh404/h-sam

📕 Paper: https://arxiv.org/pdf/2403.18271v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/promise12

✅ Telegram: https://t.iss.one/DataScienceT

🌐 𝗠𝗮𝗷𝗼𝗿 𝗧𝗢𝗠: 𝗣𝗹𝗮𝗻𝗲𝘁 𝗘𝗮𝗿𝘁𝗵 𝗶𝘀 𝗯̶𝗹̶𝘂̶𝗲̶ 𝟱.𝟰𝟬𝟱 𝗚𝗛𝘇

MajorTom-Core-S1RTC is a new satellite image standard and dataset that contains 1,469,955 images.

16 TB of radiometrically calibrated images.

▪ HF: https://huggingface.co/Major-TOM
▪ Github: https://github.com/ESA-PhiLab/Major-TOM/
▪ Colab: https://colab.research.google.com/github/ESA-PhiLab/Major-TOM/blob/main/03-Filtering-in-Colab.ipynb
▪ Paper: https://www.arxiv.org/abs/2402.12095
▪ MajorTOM-Core-Viewer: https://huggingface.co/spaces/Major-TOM/MajorTOM-Core-Viewer

✅ Telegram: https://t.iss.one/DataScienceT