Top 6 Algorithms Every Software Engineer Should Know
1) Binary Search Algorithm.
2) Bubble Sort Algorithm.
3) Merge Sort Algorithm
4) Depth-first Search Algorithm
5) Dijkstra’s Algorithm
6) Randomized Algorithm
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1) Binary Search Algorithm.
2) Bubble Sort Algorithm.
3) Merge Sort Algorithm
4) Depth-first Search Algorithm
5) Dijkstra’s Algorithm
6) Randomized Algorithm
https://news.1rj.ru/str/DataScienceT
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⭐️ 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
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pip install inpars🖥 Github: https://github.com/zetaalphavector/inpars
📕 Paper: https://arxiv.org/abs/2307.04601v1
🚀 Dataset: https://paperswithcode.com/dataset/beir
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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
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Link 1: https://github.com/HHHMHA/django-roadmap
Link 2:
https://github.com/faresemad/Django-Roadmap
Share this roadmap for your friends
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👍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
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🖥 Github: https://github.com/xi-jia/fourier-net
⏩ Paper: https://arxiv.org/pdf/2307.02997v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/learn2reg
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🔥 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
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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
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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/
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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/
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machinelearningAIDeep_resume.pdf
45.4 MB
Cheat Sheets for AI Neural Networks, Machine Learning, DeepLearning & Big Data
💐 Please React ♥️, Share
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💐 Please React ♥️, Share
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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
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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
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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
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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
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Get up to speed on Large Language Models with these two free cheat sheets
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https://news.1rj.ru/str/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://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0
✅ https://news.1rj.ru/str/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://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0
✅ https://news.1rj.ru/str/DataScienceM
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