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AnimateDiff
Effective framework to animate most of existing personalized text-to-image models once for all, saving the efforts in model-specific tuning.
🖥 Github: https://github.com/guoyww/animatediff/
🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb
📕 Paper: https://arxiv.org/abs/2307.04725
🚀 Project: https://animatediff.github.io/
https://t.iss.one/DataScienceT
Effective framework to animate most of existing personalized text-to-image models once for all, saving the efforts in model-specific tuning.
🖥 Github: https://github.com/guoyww/animatediff/
🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb
📕 Paper: https://arxiv.org/abs/2307.04725
🚀 Project: https://animatediff.github.io/
https://t.iss.one/DataScienceT
👍2
machinelearningAIDeep_resume.pdf
45.4 MB
Cheat Sheets for AI Neural Networks, Machine Learning, DeepLearning & Big Data
💐 Please React ♥️, Share
https://t.iss.one/DataScienceM
💐 Please React ♥️, Share
https://t.iss.one/DataScienceM
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🔈 Urhythmic: Rhythm Modeling for Voice Conversion
Unsupervised Rhythm Modeling for Voice Conversion.
🖥 Github: https://github.com/bshall/urhythmic
🖥 Documentation: https://colab.research.google.com/github/bshall/urhythmic/blob/main/urhythmic_demo.ipynb
📕 Paper: https://arxiv.org/abs/2307.06040v1
🚀 Dataset: https://paperswithcode.com/dataset/vctk
https://t.iss.one/DataScienceT
Unsupervised Rhythm Modeling for Voice Conversion.
🖥 Github: https://github.com/bshall/urhythmic
🖥 Documentation: https://colab.research.google.com/github/bshall/urhythmic/blob/main/urhythmic_demo.ipynb
📕 Paper: https://arxiv.org/abs/2307.06040v1
🚀 Dataset: https://paperswithcode.com/dataset/vctk
https://t.iss.one/DataScienceT
👍5
Are you looking to break into Machine Learning?
Here is a great place to start:
This is the best video series about Neural Networks for anyone who wants to understand how they work.
https://www.3blue1brown.com/topics/neural-networks
https://t.iss.one/DataScienceT
Here is a great place to start:
This is the best video series about Neural Networks for anyone who wants to understand how they work.
https://www.3blue1brown.com/topics/neural-networks
https://t.iss.one/DataScienceT
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Get up to speed on Large Language Models with these two free cheat sheets
https://t.iss.one/DataScienceT
https://t.iss.one/DataScienceT
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Forwarded from Eng. Hussein Sheikho 👨💻
This channels is for Programmers, Coders, Software Engineers.
0- Python
1- Data Science
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3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
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✅ https://t.iss.one/DataScienceM
0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
✅ https://t.iss.one/addlist/8_rRW2scgfRhOTc0
✅ https://t.iss.one/DataScienceM
👍3
Extract Text From a Multi-Column Document Using PyMuPDF in Python
Code: https://artifex.com/blog/extract-text-from-a-multi-column-document-using-pymupdf-inpython
https://t.iss.one/DataScienceT
Code: https://artifex.com/blog/extract-text-from-a-multi-column-document-using-pymupdf-inpython
https://t.iss.one/DataScienceT
👍3
Image as Set of Points - ICLR'23 [Oral, Top5%]
🖥 Github: https://github.com/ma-xu/context-cluster
⏩ Paper: https://arxiv.org/abs/2303.01494v1
💨 Dataset: https://paperswithcode.com/dataset/scanobjectnn
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/ma-xu/context-cluster
⏩ Paper: https://arxiv.org/abs/2303.01494v1
💨 Dataset: https://paperswithcode.com/dataset/scanobjectnn
https://t.iss.one/DataScienceT
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🔥 Artificial Intelligence for Science (AIRS)
•OpenQM: AI for Quantum Mechanics
•OpenDFT: AI for Density Functional Theory
•OpenMol: AI for Small Molecules
•OpenProt: AI for Protein Science
•OpenMat: AI for Materials Science
•OpenMI: AI for Molecular Interactions
•OpenPDE: AI for Partial Differential Equations
🖥 Github: https://github.com/divelab/AIRS
📕 Paper: https://arxiv.org/abs/2307.08423
⭐️ Website: https://www.air4.science/
📌 Dataset: https://paperswithcode.com/dataset/atom3d
t.iss.one/DataScienceT
•OpenQM: AI for Quantum Mechanics
•OpenDFT: AI for Density Functional Theory
•OpenMol: AI for Small Molecules
•OpenProt: AI for Protein Science
•OpenMat: AI for Materials Science
•OpenMI: AI for Molecular Interactions
•OpenPDE: AI for Partial Differential Equations
🖥 Github: https://github.com/divelab/AIRS
📕 Paper: https://arxiv.org/abs/2307.08423
⭐️ Website: https://www.air4.science/
📌 Dataset: https://paperswithcode.com/dataset/atom3d
t.iss.one/DataScienceT
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Neural Video Depth Stabilizer (ICCV2023) 🚀🚀🚀
🖥 Github: https://github.com/raymondwang987/nvds
⏩ Paper: https://arxiv.org/pdf/2307.08695v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/wsvd
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/raymondwang987/nvds
⏩ Paper: https://arxiv.org/pdf/2307.08695v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/wsvd
https://t.iss.one/DataScienceT
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💬 Text2Cinemagraph: Synthesizing Artistic Cinemagraphs from Text
🖥 Github: https://github.com/text2cinemagraph/text2cinemagraph
🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb
📕 Paper: https://arxiv.org/pdf/2307.03190.pdf
🚀 Project: https://text2cinemagraph.github.io/website/
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/text2cinemagraph/text2cinemagraph
🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb
📕 Paper: https://arxiv.org/pdf/2307.03190.pdf
🚀 Project: https://text2cinemagraph.github.io/website/
https://t.iss.one/DataScienceT
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🔥 Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2 collection of pretrained and fine-tuned large language models (LLMs).
🖥 Github: https://github.com/facebookresearch/llama
⭐️ Demo: https://huggingface.co/blog/llama2
🤗Hugging face: https://huggingface.co/meta-llama/Llama-2-70b
📕 Paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
https://t.iss.one/DataScienceT
Llama 2 collection of pretrained and fine-tuned large language models (LLMs).
🖥 Github: https://github.com/facebookresearch/llama
⭐️ Demo: https://huggingface.co/blog/llama2
🤗Hugging face: https://huggingface.co/meta-llama/Llama-2-70b
📕 Paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
https://t.iss.one/DataScienceT
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SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
🖥 Github: https://github.com/czvvd/svdformer
⏩ Paper: https://arxiv.org/pdf/2307.08492v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/shapenet
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/czvvd/svdformer
⏩ Paper: https://arxiv.org/pdf/2307.08492v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/shapenet
https://t.iss.one/DataScienceT
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🌆Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
🖥 Github: https://github.com/tetrzim/diffusion-human-feedback
⏩ Paper: https://arxiv.org/pdf/2307.02770v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/tetrzim/diffusion-human-feedback
⏩ Paper: https://arxiv.org/pdf/2307.02770v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
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FLASK: Fine-grained Language Model Evaluation Based on Alignment Skill Sets
🖥 Github: https://github.com/kaistai/flask
⏩ Paper: https://arxiv.org/pdf/2307.10928v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/gsm8k
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/kaistai/flask
⏩ Paper: https://arxiv.org/pdf/2307.10928v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/gsm8k
https://t.iss.one/DataScienceT
❤4
Forwarded from Python | Machine Learning | Coding | R
A special bot is available to download any book you want without waiting for it to be published here in the channel. The bot contains 30 million books or more and all books are in PDF and other format.
Contact @hussein_sheikho
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Price: 9$ forever
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