Do you enjoy reading this channel?
Perhaps you have thought about placing ads on it?
To do this, follow three simple steps:
1) Sign up: https://telega.io/c/dataScienceT
2) Top up the balance in a convenient way
3) Create an advertising post
If the topic of your post fits our channel, we will publish it with pleasure.
Perhaps you have thought about placing ads on it?
To do this, follow three simple steps:
1) Sign up: https://telega.io/c/dataScienceT
2) Top up the balance in a convenient way
3) Create an advertising post
If the topic of your post fits our channel, we will publish it with pleasure.
π6β€3
This media is not supported in your browser
VIEW IN TELEGRAM
π Listen, Think, and Understand
AI model that has both audio perception and a reasoning ability
π₯ Github: https://github.com/YuanGongND/ltu
βοΈ Demo: https://18c618fc8f07ec494e.gradio.live/
π Paper: https://arxiv.org/abs/2309.14405v1
π€ HH: https://huggingface.co/spaces/yuangongfdu/ltu-2
βοΈ Dataset: https://paperswithcode.com/dataset/iemocap
https://t.iss.one/DataScienceT
AI model that has both audio perception and a reasoning ability
π₯ Github: https://github.com/YuanGongND/ltu
βοΈ Demo: https://18c618fc8f07ec494e.gradio.live/
π Paper: https://arxiv.org/abs/2309.14405v1
π€ HH: https://huggingface.co/spaces/yuangongfdu/ltu-2
βοΈ Dataset: https://paperswithcode.com/dataset/iemocap
https://t.iss.one/DataScienceT
β fastMONAI: A low-code deep learning library for medical image analysis
Simplifying deep learning for medical imaging.
π₯ Github: https://github.com/MMIV-ML/fastMONAI
Project: https://fastmonai.no
π Paper: https://www.sciencedirect.com/science/article/pii/S2665963823001203
π₯ Colab: https://colab.research.google.com/github/MMIV-ML/fastMONAI/blob/master/nbs/10a_tutorial_classification.ipynb
https://t.iss.one/DataScienceT
Simplifying deep learning for medical imaging.
git clone https://github.com/MMIV-ML/fastMONAI
π₯ Github: https://github.com/MMIV-ML/fastMONAI
Project: https://fastmonai.no
π Paper: https://www.sciencedirect.com/science/article/pii/S2665963823001203
π₯ Colab: https://colab.research.google.com/github/MMIV-ML/fastMONAI/blob/master/nbs/10a_tutorial_classification.ipynb
https://t.iss.one/DataScienceT
π4
βοΈScenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
π₯ Github: https://github.com/Yuxinn-J/Scenimefy/tree/main
βοΈ Demo: https://huggingface.co/spaces/YuxinJ/Scenimefy
π Paper: https://arxiv.org/abs/2308.12968
β©Project: https://yuxinn-j.github.io/projects/Scenimefy.html
βοΈ Dataset: https://github.com/Yuxinn-J/Scenimefy/tree/main#open_file_folder-anime-scene-dataset
https://t.iss.one/DataScienceT
git clone https://github.com/Yuxinn-J/Scenimefy.git
π₯ Github: https://github.com/Yuxinn-J/Scenimefy/tree/main
βοΈ Demo: https://huggingface.co/spaces/YuxinJ/Scenimefy
π Paper: https://arxiv.org/abs/2308.12968
β©Project: https://yuxinn-j.github.io/projects/Scenimefy.html
βοΈ Dataset: https://github.com/Yuxinn-J/Scenimefy/tree/main#open_file_folder-anime-scene-dataset
https://t.iss.one/DataScienceT
π4β€1
π€ Machine Learning Tutorials Repository
1. Python
2. Computer Vision: Techniques, algorithms
3. NLP
4. Matplotlib
5. NumPy
6. Pandas
7. MLOps
8. LLMs
9. PyTorch/TensorFlow
π GitHub: https://github.com/patchy631/machine-learning/tree/main
βοΈ https://t.iss.one/DataScienceT
1. Python
2. Computer Vision: Techniques, algorithms
3. NLP
4. Matplotlib
5. NumPy
6. Pandas
7. MLOps
8. LLMs
9. PyTorch/TensorFlow
git clone https://github.com/patchy631/machine-learning
π GitHub: https://github.com/patchy631/machine-learning/tree/main
βοΈ https://t.iss.one/DataScienceT
π16β€3
Data Science | Machine Learning with Python for Researchers
π€ Machine Learning Tutorials Repository 1. Python 2. Computer Vision: Techniques, algorithms 3. NLP 4. Matplotlib 5. NumPy 6. Pandas 7. MLOps 8. LLMs 9. PyTorch/TensorFlow git clone https://github.com/patchy631/machine-learning π GitHub: https://githβ¦
Total interactions required: 20 π
This media is not supported in your browser
VIEW IN TELEGRAM
βοΈ Decaf: 3D Face-Hand Interactions
βοΈ The first learning-based MoCap to track human hands interacting with human faces in #3D from single monocular RGB videos
π Review: https://t.ly/070Tj
π Paper: arxiv.org/pdf/2309.16670.pdf
π Project: vcai.mpi-inf.mpg.de/projects/Decaf
https://t.iss.one/DataScienceT
βοΈ The first learning-based MoCap to track human hands interacting with human faces in #3D from single monocular RGB videos
π Review: https://t.ly/070Tj
π Paper: arxiv.org/pdf/2309.16670.pdf
π Project: vcai.mpi-inf.mpg.de/projects/Decaf
https://t.iss.one/DataScienceT
π3β€2
This media is not supported in your browser
VIEW IN TELEGRAM
π Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
π₯ Github: https://github.com/guyyariv/TempoTokens
π Paper: https://arxiv.org/abs/2309.16429v1
βοΈ Dataset: https://paperswithcode.com/dataset/audioset
https://t.iss.one/DataScienceT
git clone [email protected]:guyyariv/TempoTokens.git
π₯ Github: https://github.com/guyyariv/TempoTokens
π Paper: https://arxiv.org/abs/2309.16429v1
βοΈ Dataset: https://paperswithcode.com/dataset/audioset
https://t.iss.one/DataScienceT
π3π3
This media is not supported in your browser
VIEW IN TELEGRAM
The future is already here, and it's scary!
Today we can become half cyborgs, print food on a 3d printer, and live in a revolving skyscraper. It's real!
Tomorrow Technology shows the latest innovations that will take your breath away!
Stay tuned by subscribing to the channel to get the latest news from the world of technology!
Link to the channel: Tomorrow Technology
Today we can become half cyborgs, print food on a 3d printer, and live in a revolving skyscraper. It's real!
Tomorrow Technology shows the latest innovations that will take your breath away!
Stay tuned by subscribing to the channel to get the latest news from the world of technology!
Link to the channel: Tomorrow Technology
β€βπ₯2π2π1
βοΈ IBM Free course: Python Basics for Data Science
Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science
βοΈ https://t.iss.one/CodeProgrammer
Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science
βοΈ https://t.iss.one/CodeProgrammer
β€2π2
π¦
Jury: A Comprehensive Evaluation Toolkit
π₯ Github: https://github.com/obss/jury
π Paper: https://arxiv.org/abs/2310.02040v1
π₯ Colab: https://colab.research.google.com/github/obss/jury/blob/main/examples/jury_evaluate.ipynb
βοΈ Demos: https://github.com/Parskatt/DeDoDe/blob/main/demo
https://t.iss.one/DataScienceT
pip install jury
π₯ Github: https://github.com/obss/jury
π Paper: https://arxiv.org/abs/2310.02040v1
π₯ Colab: https://colab.research.google.com/github/obss/jury/blob/main/examples/jury_evaluate.ipynb
βοΈ Demos: https://github.com/Parskatt/DeDoDe/blob/main/demo
https://t.iss.one/DataScienceT
π1
This media is not supported in your browser
VIEW IN TELEGRAM
β‘οΈ Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes
π₯ Github: https://github.com/marcometer/endless-memory-gym
π₯ Colab: https://colab.research.google.com/drive/1LjlUOEer8vjGrz0rLM8pP5UyeNCsURkY?usp=sharing
π Paper: https://openreview.net/forum?id=jHc8dCx6DDr
βοΈ Dataset: https://paperswithcode.com/dataset/arcade-learning-environment
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/marcometer/endless-memory-gym
π₯ Colab: https://colab.research.google.com/drive/1LjlUOEer8vjGrz0rLM8pP5UyeNCsURkY?usp=sharing
π Paper: https://openreview.net/forum?id=jHc8dCx6DDr
βοΈ Dataset: https://paperswithcode.com/dataset/arcade-learning-environment
https://t.iss.one/DataScienceT
π2β€1π1
This media is not supported in your browser
VIEW IN TELEGRAM
π Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
π₯ Github: https://github.com/guyyariv/TempoTokens
π Paper: https://arxiv.org/abs/2309.16429v1
βοΈ Dataset: https://paperswithcode.com/dataset/audioset
https://t.iss.one/DataScienceT
git clone [email protected]:guyyariv/TempoTokens.git
π₯ Github: https://github.com/guyyariv/TempoTokens
π Paper: https://arxiv.org/abs/2309.16429v1
βοΈ Dataset: https://paperswithcode.com/dataset/audioset
https://t.iss.one/DataScienceT
π6β€4π1
β
οΈ T3Bench: Benchmarking Current Progress in Text-to-3D Generation
π₯ Github: https://github.com/THU-LYJ-Lab/T3Bench
π Paper: https://arxiv.org/abs/2310.02977v1
βοΈ Dataset: https://paperswithcode.com/dataset/nerf
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/THU-LYJ-Lab/T3Bench
π Paper: https://arxiv.org/abs/2310.02977v1
βοΈ Dataset: https://paperswithcode.com/dataset/nerf
https://t.iss.one/DataScienceT
β€2
Data Science | Machine Learning with Python for Researchers
β
οΈ T3Bench: Benchmarking Current Progress in Text-to-3D Generation π₯ Github: https://github.com/THU-LYJ-Lab/T3Bench π Paper: https://arxiv.org/abs/2310.02977v1 βοΈ Dataset: https://paperswithcode.com/dataset/nerf https://t.iss.one/DataScienceT
Total interactions required: 20 π
β€2π2π1
Important channel
https://t.iss.one/CodeProgrammer
https://t.iss.one/CodeProgrammer
Telegram
Python | Machine Learning | Coding | R
Help and ads: @hussein_sheikho
Discover powerful insights with Python, Machine Learning, Coding, and Rβyour essential toolkit for data-driven solutions, smart alg
List of our channels:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
https://telega.io/?r=nikapsOH
Discover powerful insights with Python, Machine Learning, Coding, and Rβyour essential toolkit for data-driven solutions, smart alg
List of our channels:
https://t.iss.one/addlist/8_rRW2scgfRhOTc0
https://telega.io/?r=nikapsOH