Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation
🖥 Github: https://github.com/kaistai/prometheus-vision
📕 Paper: https://arxiv.org/abs/2401.06591v1
🔥Datasets: https://paperswithcode.com/dataset/ok-vqa
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.iss.one/DataScienceT
🖥 Github: https://github.com/kaistai/prometheus-vision
📕 Paper: https://arxiv.org/abs/2401.06591v1
🔥Datasets: https://paperswithcode.com/dataset/ok-vqa
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.iss.one/DataScienceT
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Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
🖥 Github: https://github.com/kai422/iart
📕 Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf
🔥Datasets: https://paperswithcode.com/task/video-super-resolution
Telegram: https://t.iss.one/DataScienceT
🖥 Github: https://github.com/kai422/iart
📕 Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf
🔥Datasets: https://paperswithcode.com/task/video-super-resolution
Telegram: https://t.iss.one/DataScienceT
Forwarded from Python Courses
[O’REILLY] Data Science Bookcamp, Video Edition
In Data Science Bookcamp you will find:
• Techniques for computing and plotting probabilities
• Statistical analysis using Scipy
• How to organize datasets with clustering algorithms
• How to visualize complex multi-variable datasets
• How to train a decision tree machine learning algorithm
In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.
Size: 6.4 GB - Telegram Videos
Price: 20$ (PayPal - payeer - crypto - udst - MasterCard - visaca)
Contact @hussein_sheikho
In Data Science Bookcamp you will find:
• Techniques for computing and plotting probabilities
• Statistical analysis using Scipy
• How to organize datasets with clustering algorithms
• How to visualize complex multi-variable datasets
• How to train a decision tree machine learning algorithm
In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.
Size: 6.4 GB - Telegram Videos
Price: 20$ (PayPal - payeer - crypto - udst - MasterCard - visaca)
Contact @hussein_sheikho
🎮 RAP-SAM:Towards Real-Time All-Purpose Segment Anything
🖥 Code: https://github.com/xushilin1/rap-sam
📚 Paper: https://arxiv.org/abs/2401.10228v1
🌟 Dataset : https://paperswithcode.com/dataset/coco
Telegram: https://t.iss.one/DataScienceT
🖥 Code: https://github.com/xushilin1/rap-sam
📚 Paper: https://arxiv.org/abs/2401.10228v1
🌟 Dataset : https://paperswithcode.com/dataset/coco
Telegram: https://t.iss.one/DataScienceT
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👍6❤1
☑ InstantID : Zero-shot Identity-Preserving Generation in Seconds
🖥 Code: https://github.com/InstantID/InstantID
🚀 Project: https://instantid.github.io/
📚 Paper: https://arxiv.org/abs/2401.07519
🖥 Code: https://github.com/InstantID/InstantID
🚀 Project: https://instantid.github.io/
📚 Paper: https://arxiv.org/abs/2401.07519
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Depth Anything
Unleashing the Power of Large-Scale Unlabeled Data
[Paper] [Code] [Demo]
Telegram: https://t.iss.one/DataScienceT
Unleashing the Power of Large-Scale Unlabeled Data
[Paper] [Code] [Demo]
Telegram: https://t.iss.one/DataScienceT
👍4
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🔮 Awesome AI Agents
New 🌟 Curated list of AI agents 🌟 !.
▪ 150+ AI agents and frameworks.
▪ Filter by usage scenarios .
▪ Filter by open/closed source.
▪ Filter new AI products
▪ Ability to receive updates about a specific AI agent.
🖥 Github: https://github.com/e2b-dev/awesome-ai-agents
🎮 Project: https://e2b.dev/ai-agents
New 🌟 Curated list of AI agents 🌟 !.
▪ 150+ AI agents and frameworks.
▪ Filter by usage scenarios .
▪ Filter by open/closed source.
▪ Filter new AI products
▪ Ability to receive updates about a specific AI agent.
🖥 Github: https://github.com/e2b-dev/awesome-ai-agents
🎮 Project: https://e2b.dev/ai-agents
👍3❤1🏆1
Forwarded from Python Courses
[ZeroToMastery] PyTorch for Deep Learning
This course available now in our courses wallet channel
To download this course and others courses
Only request join to channel and pay 35$ (one time payment - permanent subscription) and after payment we will accept your request.
https://t.iss.one/+m8PrTuog5cgwMzUy
Contact @hussein_sheikho
This course available now in our courses wallet channel
To download this course and others courses
Only request join to channel and pay 35$ (one time payment - permanent subscription) and after payment we will accept your request.
https://t.iss.one/+m8PrTuog5cgwMzUy
Contact @hussein_sheikho
👍3
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🖥 Depth Anything is now available
Monocular depth estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.
🖥 Code: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/Depth%20Anything/Predicting_depth_in_an_image_with_Depth_Anything.ipynb
🚀 HF: https://huggingface.co/docs/transformers/v4.28.0/tasks/monocular_depth_estimation
📚 Paper: https://huggingface.co/papers/2401.10891
Monocular depth estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.
🖥 Code: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/Depth%20Anything/Predicting_depth_in_an_image_with_Depth_Anything.ipynb
🚀 HF: https://huggingface.co/docs/transformers/v4.28.0/tasks/monocular_depth_estimation
📚 Paper: https://huggingface.co/papers/2401.10891
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Forwarded from Python | Machine Learning | Coding | R
List of important courses available on our channel “Course Portfolio”
Note: We are adding more courses daily
🟢 [Coursera] Data Wrangling With Python Specialization
🟢 [Coursera] Machine Learning On Google Cloud Specialization
🟢 [ZeroToMastery] PyTorch for Deep Learning.
🟢 [Academind Pro] Python Django – The Practical Guide
🟢 [O’REILLY] Learn AI-Assisted Python Programming
🟢 Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
🟢 Code With Mosh – Complete Python Mastery
🟢 [Coursera] Data Structures And Algorithms Specialization
🟢 [Udacity] Data Structures And Algorithms Nanodegree v2.0.0
🟢 [Udacity] Learn all the essentials for AI programming with Python
⭐️ Only request join to channel and pay 35$ (one time payment - permanent subscription) and after payment we will accept your request.
https://t.iss.one/+m8PrTuog5cgwMzUy
Contact @hussein_sheikho
Note: We are adding more courses daily
🟢 [Coursera] Data Wrangling With Python Specialization
🟢 [Coursera] Machine Learning On Google Cloud Specialization
🟢 [ZeroToMastery] PyTorch for Deep Learning.
🟢 [Academind Pro] Python Django – The Practical Guide
🟢 [O’REILLY] Learn AI-Assisted Python Programming
🟢 Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
🟢 Code With Mosh – Complete Python Mastery
🟢 [Coursera] Data Structures And Algorithms Specialization
🟢 [Udacity] Data Structures And Algorithms Nanodegree v2.0.0
🟢 [Udacity] Learn all the essentials for AI programming with Python
⭐️ Only request join to channel and pay 35$ (one time payment - permanent subscription) and after payment we will accept your request.
https://t.iss.one/+m8PrTuog5cgwMzUy
Contact @hussein_sheikho
👍5❤1
CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion
🖥 Github: https://github.com/haha-lisa/creativesynth
📕 Paper: https://arxiv.org/pdf/2401.14066v1.pdf
✨ Tasks: https://paperswithcode.com/task/image-generation
🖥 Github: https://github.com/haha-lisa/creativesynth
📕 Paper: https://arxiv.org/pdf/2401.14066v1.pdf
✨ Tasks: https://paperswithcode.com/task/image-generation
👍1
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pix2gestalt: Amodal Segmentation by Synthesizing Wholes
🖥 Github: https://github.com/cvlab-columbia/pix2gestalt
📕 Paper: https://arxiv.org/pdf/2401.14398v1.pdf
✨ Tasks: https://paperswithcode.com/task/3d-reconstruction
🖥 Github: https://github.com/cvlab-columbia/pix2gestalt
📕 Paper: https://arxiv.org/pdf/2401.14398v1.pdf
✨ Tasks: https://paperswithcode.com/task/3d-reconstruction
👍4
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⭐️ GALA: Generating Animatable Layered Assets
from a Single Scan
🖥 Code: https://github.com/snuvclab/GALA
🚀 Project: snuvclab.github.io/gala
📚 Paper: https://arxiv.org/abs/2401.12979
from a Single Scan
🖥 Code: https://github.com/snuvclab/GALA
🚀 Project: snuvclab.github.io/gala
📚 Paper: https://arxiv.org/abs/2401.12979
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