⭐️ InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.
🖥 Github: https://github.com/zetaalphavector/inpars
📕 Paper: https://arxiv.org/abs/2307.04601v1
🚀 Dataset: https://paperswithcode.com/dataset/beir
https://t.iss.one/DataScienceT
pip install inpars
🖥 Github: https://github.com/zetaalphavector/inpars
📕 Paper: https://arxiv.org/abs/2307.04601v1
🚀 Dataset: https://paperswithcode.com/dataset/beir
https://t.iss.one/DataScienceT
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Django Roadmap
Link 1: https://github.com/HHHMHA/django-roadmap
Link 2:
https://github.com/faresemad/Django-Roadmap
Share this roadmap for your friends
https://t.iss.one/CodeProgrammer
Link 1: https://github.com/HHHMHA/django-roadmap
Link 2:
https://github.com/faresemad/Django-Roadmap
Share this roadmap for your friends
https://t.iss.one/CodeProgrammer
👍3
Fourier-Net
🖥 Github: https://github.com/xi-jia/fourier-net
⏩ Paper: https://arxiv.org/pdf/2307.02997v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/learn2reg
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/xi-jia/fourier-net
⏩ Paper: https://arxiv.org/pdf/2307.02997v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/learn2reg
https://t.iss.one/DataScienceT
👍2
🔥 Generative Pretraining in Multimodality
Model can take in any single-modality or multimodal data input indiscriminately through a one-model-for-all autoregressive training process.
🖥 Github: https://github.com/baaivision/emu
📕 Paper: https://arxiv.org/abs/2307.05222v1
🚀 Dataset: https://paperswithcode.com/dataset/mmc4
https://t.iss.one/DataScienceT
Model can take in any single-modality or multimodal data input indiscriminately through a one-model-for-all autoregressive training process.
🖥 Github: https://github.com/baaivision/emu
📕 Paper: https://arxiv.org/abs/2307.05222v1
🚀 Dataset: https://paperswithcode.com/dataset/mmc4
https://t.iss.one/DataScienceT
👍2❤1
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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
❤18👍3
🔈 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
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
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
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