⭐️Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
🖥 Github: https://github.com/Yuxinn-J/Scenimefy/tree/main
☑️ Demo: https://huggingface.co/spaces/YuxinJ/Scenimefy
📕 Paper: https://arxiv.org/abs/2308.12968
⏩Project: https://yuxinn-j.github.io/projects/Scenimefy.html
⭐️ Dataset: https://github.com/Yuxinn-J/Scenimefy/tree/main#open_file_folder-anime-scene-dataset
https://news.1rj.ru/str/DataScienceT
git clone https://github.com/Yuxinn-J/Scenimefy.git🖥 Github: https://github.com/Yuxinn-J/Scenimefy/tree/main
☑️ Demo: https://huggingface.co/spaces/YuxinJ/Scenimefy
📕 Paper: https://arxiv.org/abs/2308.12968
⏩Project: https://yuxinn-j.github.io/projects/Scenimefy.html
⭐️ Dataset: https://github.com/Yuxinn-J/Scenimefy/tree/main#open_file_folder-anime-scene-dataset
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🤖 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
🔗 GitHub: https://github.com/patchy631/machine-learning/tree/main
⭐️ https://news.1rj.ru/str/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🔗 GitHub: https://github.com/patchy631/machine-learning/tree/main
⭐️ https://news.1rj.ru/str/DataScienceT
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ML Research Hub
🤖 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 🔗 GitHub: https://gith…
Total interactions required: 20 👍
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⭐️ Decaf: 3D Face-Hand Interactions
⭐️ The first learning-based MoCap to track human hands interacting with human faces in #3D from single monocular RGB videos
🔗 Review: https://t.ly/070Tj
🔗 Paper: arxiv.org/pdf/2309.16670.pdf
🔗 Project: vcai.mpi-inf.mpg.de/projects/Decaf
https://news.1rj.ru/str/DataScienceT
⭐️ The first learning-based MoCap to track human hands interacting with human faces in #3D from single monocular RGB videos
🔗 Review: https://t.ly/070Tj
🔗 Paper: arxiv.org/pdf/2309.16670.pdf
🔗 Project: vcai.mpi-inf.mpg.de/projects/Decaf
https://news.1rj.ru/str/DataScienceT
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🔊 Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
🖥 Github: https://github.com/guyyariv/TempoTokens
📕 Paper: https://arxiv.org/abs/2309.16429v1
⭐️ Dataset: https://paperswithcode.com/dataset/audioset
https://news.1rj.ru/str/DataScienceT
git clone git@github.com:guyyariv/TempoTokens.git🖥 Github: https://github.com/guyyariv/TempoTokens
📕 Paper: https://arxiv.org/abs/2309.16429v1
⭐️ Dataset: https://paperswithcode.com/dataset/audioset
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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
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☑️ IBM Free course: Python Basics for Data Science
Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science
⭐️ https://news.1rj.ru/str/CodeProgrammer
Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science
⭐️ https://news.1rj.ru/str/CodeProgrammer
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🦅 Jury: A Comprehensive Evaluation Toolkit
🖥 Github: https://github.com/obss/jury
📕 Paper: https://arxiv.org/abs/2310.02040v1
🖥 Colab: https://colab.research.google.com/github/obss/jury/blob/main/examples/jury_evaluate.ipynb
⭐️ Demos: https://github.com/Parskatt/DeDoDe/blob/main/demo
https://news.1rj.ru/str/DataScienceT
pip install jury🖥 Github: https://github.com/obss/jury
📕 Paper: https://arxiv.org/abs/2310.02040v1
🖥 Colab: https://colab.research.google.com/github/obss/jury/blob/main/examples/jury_evaluate.ipynb
⭐️ Demos: https://github.com/Parskatt/DeDoDe/blob/main/demo
https://news.1rj.ru/str/DataScienceT
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⚡️ Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes
🖥 Github: https://github.com/marcometer/endless-memory-gym
🖥 Colab: https://colab.research.google.com/drive/1LjlUOEer8vjGrz0rLM8pP5UyeNCsURkY?usp=sharing
📕 Paper: https://openreview.net/forum?id=jHc8dCx6DDr
⭐️ Dataset: https://paperswithcode.com/dataset/arcade-learning-environment
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/marcometer/endless-memory-gym
🖥 Colab: https://colab.research.google.com/drive/1LjlUOEer8vjGrz0rLM8pP5UyeNCsURkY?usp=sharing
📕 Paper: https://openreview.net/forum?id=jHc8dCx6DDr
⭐️ Dataset: https://paperswithcode.com/dataset/arcade-learning-environment
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🔊 Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
🖥 Github: https://github.com/guyyariv/TempoTokens
📕 Paper: https://arxiv.org/abs/2309.16429v1
⭐️ Dataset: https://paperswithcode.com/dataset/audioset
https://news.1rj.ru/str/DataScienceT
git clone git@github.com:guyyariv/TempoTokens.git🖥 Github: https://github.com/guyyariv/TempoTokens
📕 Paper: https://arxiv.org/abs/2309.16429v1
⭐️ Dataset: https://paperswithcode.com/dataset/audioset
https://news.1rj.ru/str/DataScienceT
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✅️ T3Bench: Benchmarking Current Progress in Text-to-3D Generation
🖥 Github: https://github.com/THU-LYJ-Lab/T3Bench
📕 Paper: https://arxiv.org/abs/2310.02977v1
⭐️ Dataset: https://paperswithcode.com/dataset/nerf
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/THU-LYJ-Lab/T3Bench
📕 Paper: https://arxiv.org/abs/2310.02977v1
⭐️ Dataset: https://paperswithcode.com/dataset/nerf
https://news.1rj.ru/str/DataScienceT
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ML Research Hub
✅️ T3Bench: Benchmarking Current Progress in Text-to-3D Generation 🖥 Github: https://github.com/THU-LYJ-Lab/T3Bench 📕 Paper: https://arxiv.org/abs/2310.02977v1 ⭐️ Dataset: https://paperswithcode.com/dataset/nerf https://news.1rj.ru/str/DataScienceT
Total interactions required: 20 👍
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Guideline following Large Language Model for Information Extraction
🖥 Github: https://github.com/hitz-zentroa/gollie
⏩ Tutorial: https://github.com/stanfordnlp/dspy/blob/main/intro.ipynb
⭐️ Project: https://hitz-zentroa.github.io/GoLLIE/
📕 Paper: https://arxiv.org/abs/2310.03668v1
⭐️ Dataset: https://paperswithcode.com/dataset/harveyner
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/hitz-zentroa/gollie
⏩ Tutorial: https://github.com/stanfordnlp/dspy/blob/main/intro.ipynb
⭐️ Project: https://hitz-zentroa.github.io/GoLLIE/
📕 Paper: https://arxiv.org/abs/2310.03668v1
⭐️ Dataset: https://paperswithcode.com/dataset/harveyner
https://news.1rj.ru/str/DataScienceT
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💻 Graph Structure Learning Benchmark (GSLB)
pip install GSLB
🖥 Github: https://github.com/gsl-benchmark/gslb
📕 Paper: https://arxiv.org/abs/2310.05163v1
⭐️ Paper collection: https://github.com/GSL-Benchmark/Awesome-Graph-Structure-Learning
https://news.1rj.ru/str/DataScienceT
pip install GSLB
🖥 Github: https://github.com/gsl-benchmark/gslb
📕 Paper: https://arxiv.org/abs/2310.05163v1
⭐️ Paper collection: https://github.com/GSL-Benchmark/Awesome-Graph-Structure-Learning
https://news.1rj.ru/str/DataScienceT
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✅ Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models.
🖥 Github: https://github.com/Zeqiang-Lai/Mini-DALLE3
📕 Paper: https://arxiv.org/abs/2310.07653v1
⭐️ Dataset: https://paperswithcode.com/dataset/mmlu
🖥 Github: https://github.com/Zeqiang-Lai/Mini-DALLE3
📕 Paper: https://arxiv.org/abs/2310.07653v1
⭐️ Dataset: https://paperswithcode.com/dataset/mmlu
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