😠 GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
Fuzzer maintains over 90% attack success rate against ChatGPT and Llama-2 models.
🖥 Github: https://github.com/sherdencooper/gptfuzz
📕 Paper: https://arxiv.org/abs/2309.10253v1
⏩ Dataset: https://sites.google.com/view/llm-jailbreak-study
https://news.1rj.ru/str/DataScienceT
Fuzzer maintains over 90% attack success rate against ChatGPT and Llama-2 models.
🖥 Github: https://github.com/sherdencooper/gptfuzz
📕 Paper: https://arxiv.org/abs/2309.10253v1
⏩ Dataset: https://sites.google.com/view/llm-jailbreak-study
https://news.1rj.ru/str/DataScienceT
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Distillation-in-dg
🖥 Github: https://github.com/vorobeevich/distillation-in-dg
📕 Paper: https://arxiv.org/pdf/2309.11446v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/office-home
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/vorobeevich/distillation-in-dg
📕 Paper: https://arxiv.org/pdf/2309.11446v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/office-home
https://news.1rj.ru/str/DataScienceT
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📊 PAMS: Platform for Artificial Market Simulations
Artificial market simulation is a multi-agent simulation and run virtual markets on your computer.
🖥 Github: https://github.com/masanorihirano/pams
📕 Paper: https://arxiv.org/abs/2309.10729v1
⏩ Docs: https://pams.hirano.dev/
https://news.1rj.ru/str/DataScienceT
Artificial market simulation is a multi-agent simulation and run virtual markets on your computer.
$ pip install pams🖥 Github: https://github.com/masanorihirano/pams
📕 Paper: https://arxiv.org/abs/2309.10729v1
⏩ Docs: https://pams.hirano.dev/
https://news.1rj.ru/str/DataScienceT
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
🖥 Github: https://github.com/dvlab-research/longlora
📕 Paper: https://arxiv.org/pdf/2309.12307v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/pg-19
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/dvlab-research/longlora
📕 Paper: https://arxiv.org/pdf/2309.12307v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/pg-19
https://news.1rj.ru/str/DataScienceT
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🎓 BayesDLL: Bayesian Deep Learning Library
New Bayesian neural network library for PyTorch for large-scale deep network
🖥 Github: https://github.com/samsunglabs/bayesdll
📕 Paper: https://arxiv.org/abs/2309.12928v1
⭐️ Dataset: https://paperswithcode.com/dataset/oxford-102-flower
https://news.1rj.ru/str/DataScienceT
New Bayesian neural network library for PyTorch for large-scale deep network
🖥 Github: https://github.com/samsunglabs/bayesdll
📕 Paper: https://arxiv.org/abs/2309.12928v1
⭐️ Dataset: https://paperswithcode.com/dataset/oxford-102-flower
https://news.1rj.ru/str/DataScienceT
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🔊 Listen, Think, and Understand
AI model that has both audio perception and a reasoning ability
🖥 Github: https://github.com/YuanGongND/ltu
☑️ Demo: https://18c618fc8f07ec494e.gradio.live/
📕 Paper: https://arxiv.org/abs/2309.14405v1
🤗 HH: https://huggingface.co/spaces/yuangongfdu/ltu-2
⭐️ Dataset: https://paperswithcode.com/dataset/iemocap
https://news.1rj.ru/str/DataScienceT
AI model that has both audio perception and a reasoning ability
🖥 Github: https://github.com/YuanGongND/ltu
☑️ Demo: https://18c618fc8f07ec494e.gradio.live/
📕 Paper: https://arxiv.org/abs/2309.14405v1
🤗 HH: https://huggingface.co/spaces/yuangongfdu/ltu-2
⭐️ Dataset: https://paperswithcode.com/dataset/iemocap
https://news.1rj.ru/str/DataScienceT
➕ fastMONAI: A low-code deep learning library for medical image analysis
Simplifying deep learning for medical imaging.
🖥 Github: https://github.com/MMIV-ML/fastMONAI
Project: https://fastmonai.no
📕 Paper: https://www.sciencedirect.com/science/article/pii/S2665963823001203
🖥 Colab: https://colab.research.google.com/github/MMIV-ML/fastMONAI/blob/master/nbs/10a_tutorial_classification.ipynb
https://news.1rj.ru/str/DataScienceT
Simplifying deep learning for medical imaging.
git clone https://github.com/MMIV-ML/fastMONAI🖥 Github: https://github.com/MMIV-ML/fastMONAI
Project: https://fastmonai.no
📕 Paper: https://www.sciencedirect.com/science/article/pii/S2665963823001203
🖥 Colab: https://colab.research.google.com/github/MMIV-ML/fastMONAI/blob/master/nbs/10a_tutorial_classification.ipynb
https://news.1rj.ru/str/DataScienceT
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⭐️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
https://news.1rj.ru/str/DataScienceT
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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…
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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
https://news.1rj.ru/str/DataScienceT
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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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