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.iss.one/addlist/8_rRW2scgfRhOTc0

✅ https://t.iss.one/codeprogrammer

📌 Project name: Cat/Dog/Fox Lightning 2024

📝 Language: #Python

🔗 Dataset Link: https://www.kaggle.com/datasets/snmahsa/animal-image-dataset-cats-dogs-and-foxes

🖋 Download the dataset offline:
https://t.iss.one/datasets1/668

📌 Project name: Cat/Dog/Fox Lightning 2024

By: https://t.iss.one/DataScienceN 🌟

🔖 Project name : Analysis of Covid-19 chest x-rays

📝 In order to diagnose patients with Covid-19, the analysis of chest X-rays is a possibility to be explored to more easily detect positive cases. If the classification through deep learning of such data proves effective in detecting positive cases, then this method can be used in hospitals and clinics when traditional testing cannot be done.

📌 Repo:
https://github.com/rehabaam/ds_covid19_project

🔍 By: https://t.iss.one/DataScienceN 🌟

🔖 ImageBind: One Embedding Space To Bind Them All

📝 This project is a significant step forward in understanding and connecting information from diverse sources like images, text, audio, video, and even motion sensor data.

⚙️ Supports 6 Modalities:

📷 Image
📝 Text
🔈 Audi
🎥 Video
🦴 IMU sensor data (e.g., accelerometer)
🙄 Depth/Thermal & 3D data
Interestingly, only some modalities had labels, yet ImageBind learned to align them through self-supervised learning.


💫 Key Features:

..No need for paired data (e.g., images and audio don’t have to be aligned)..Leverages contrastive learning for learning joint embedding space
..Competes with CLIP and AudioCLIP, but with better accuracy and coverage..Enables zero-shot retrieval (e.g., finding relevant video using just a sentence)


📌 Repo: https://github.com/facebookresearch/ImageBind

🔍 By: https://t.iss.one/DataScienceN 🌟

#ImageBind #MultimodalAI #MetaAI #DeepLearning #SelfSupervised

😍😍😍😍😍😍😍😍
It’s truly fascinating — definitely worth diving deeper into and working on!
😍😍😍😍😍😍😍😍