🧠 Topic: PyTorch Template Project
💠 Link: https://github.com/victoresque/pytorch-template
💡 Tags: #pytorch
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://github.com/victoresque/pytorch-template
💡 Tags: #pytorch
➖➖➖➖➖➖➖
🧩 More: @Aitive
GitHub
GitHub - victoresque/pytorch-template: PyTorch deep learning projects made easy.
PyTorch deep learning projects made easy. Contribute to victoresque/pytorch-template development by creating an account on GitHub.
🧠 Topic: A Comprehensive Guide to Image Processing
💠 Link: https://towardsdatascience.com/image-processing-part-2-1fb84931364a
💡 Tags: #computer_vision
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://towardsdatascience.com/image-processing-part-2-1fb84931364a
💡 Tags: #computer_vision
➖➖➖➖➖➖➖
🧩 More: @Aitive
Medium
Image Processing Part 2
2.1 : Non Linear Spatial Filtering, Min, Max & Median Filters with Python Implementation from Scratch 2.2 : Linear Spatial Filtering…
🧠 Topic: Python for High Performance: Python Containers
💠 Link: https://cvw.cac.cornell.edu/python/containers
💡 Tags: #python
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://cvw.cac.cornell.edu/python/containers
💡 Tags: #python
➖➖➖➖➖➖➖
🧩 More: @Aitive
🧠 Topic: How to Manually Scale Image Pixel Data for Deep Learning
💠 Link: https://machinelearningmastery.com/how-to-manually-scale-image-pixel-data-for-deep-learning/
💡 Tags: #python #scaling #preprocessing #standardization #normalization #centring
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://machinelearningmastery.com/how-to-manually-scale-image-pixel-data-for-deep-learning/
💡 Tags: #python #scaling #preprocessing #standardization #normalization #centring
➖➖➖➖➖➖➖
🧩 More: @Aitive
🧠 Topic: Why normalize images by subtracting dataset's image mean, instead of the current image mean in deep learning?
💠 Link: https://stats.stackexchange.com/questions/211436/why-normalize-images-by-subtracting-datasets-image-mean-instead-of-the-current
💡 Tags: #python #scaling #preprocessing #standardization #normalization #centring
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://stats.stackexchange.com/questions/211436/why-normalize-images-by-subtracting-datasets-image-mean-instead-of-the-current
💡 Tags: #python #scaling #preprocessing #standardization #normalization #centring
➖➖➖➖➖➖➖
🧩 More: @Aitive
Cross Validated
Why normalize images by subtracting dataset's image mean, instead of the current image mean in deep learning?
There are some variations on how to normalize the images but most seem to use these two methods:
Subtract the mean per channel calculated over all images (e.g. VGG_ILSVRC_16_layers)
Subtract by pi...
Subtract the mean per channel calculated over all images (e.g. VGG_ILSVRC_16_layers)
Subtract by pi...
🧠 Topic: A Gentle Introduction to Graph Neural Networks
💠 Link: https://distill.pub/2021/gnn-intro/
💡 Tags: #GNN
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://distill.pub/2021/gnn-intro/
💡 Tags: #GNN
➖➖➖➖➖➖➖
🧩 More: @Aitive
Distill
A Gentle Introduction to Graph Neural Networks
What components are needed for building learning algorithms that leverage the structure and properties of graphs?
🧠 Topic: Let’s code a Neural Network in plain NumPy
💠 Link: https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795
💡 Tags: #artificial_intelligence #deep_learning #python
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795
💡 Tags: #artificial_intelligence #deep_learning #python
➖➖➖➖➖➖➖
🧩 More: @Aitive
Medium
Let’s code a Neural Network in plain NumPy
Mysteries of Neural Networks Part III
🧠 Topic: How to implement a neural network step to step guide using numpy
💠 Link: https://peterroelants.github.io/posts/neural-network-implementation-part01/
💡 Tags: #artificial_intelligence #deep_learning #python
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://peterroelants.github.io/posts/neural-network-implementation-part01/
💡 Tags: #artificial_intelligence #deep_learning #python
➖➖➖➖➖➖➖
🧩 More: @Aitive
Peter’s Notes
How to implement a neural network (1/5) - gradient descent
How to implement, and optimize, a linear regression model from scratch using Python and NumPy. The linear regression model will be approached as a minimal regression neural network. The model will be optimized using gradient descent, for which the gradient…
🧠 Topic: Understanding Autograd: 5 Pytorch tensor functions
💠 Link: https://medium.com/@namanphy/understanding-autograd-5-pytorch-tensor-functions-8f47c27dc38
💡 Tags: #python #pytorch
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://medium.com/@namanphy/understanding-autograd-5-pytorch-tensor-functions-8f47c27dc38
💡 Tags: #python #pytorch
➖➖➖➖➖➖➖
🧩 More: @Aitive
Medium
Understanding Autograd : 5 pytorch tensor functions
Understanding the Pytorch Autograd module with the help of 5 important tensor functions.
🧠 Topic: Welcome to the UvA Deep Learning Tutorials!
💠 Link: https://uvadlc-notebooks.readthedocs.io/en/latest/index.html
💡 Tags: #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://uvadlc-notebooks.readthedocs.io/en/latest/index.html
💡 Tags: #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
🧠 Topic: 10 Must-read AI Papers
💠 Link: https://blog.crossminds.ai/post/must-read-ai-papers-neural-networks-computer-vision-deep-learning-nlp-machine-learning
💡 Tags: #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://blog.crossminds.ai/post/must-read-ai-papers-neural-networks-computer-vision-deep-learning-nlp-machine-learning
💡 Tags: #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
🧠 Topic: A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)
💠 Link: https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3
💡 Tags: #deep_learning #gnn
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3
💡 Tags: #deep_learning #gnn
➖➖➖➖➖➖➖
🧩 More: @Aitive
Medium
A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)
Recently, Graph Neural Network (GNN) has gained increasing popularity in various domains, including social network, knowledge graph…
Mathematical_Analysis_For_Machine_Learning_And_Data_Mining_by_Dan.pdf
5.6 MB
🧠 Topic: Mathematical Analysis for Machine Learning and Data Mining By Dan Simovici
💠 Link: https://www.worldscientific.com/worldscibooks/10.1142/10702
💡 Tags: #mathematical_analysis #machine_learning #book
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://www.worldscientific.com/worldscibooks/10.1142/10702
💡 Tags: #mathematical_analysis #machine_learning #book
➖➖➖➖➖➖➖
🧩 More: @Aitive
Mathematics_for_Machine_Learning_by_Marc_Peter_Deisenroth,_A_Aldo.pdf
16.6 MB
🧠 Topic: Mathematics for Machine Learning by Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong
💠 Link: https://mml-book.github.io/
💡 Tags: #mathematics #machine_learning #book
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://mml-book.github.io/
💡 Tags: #mathematics #machine_learning #book
➖➖➖➖➖➖➖
🧩 More: @Aitive
Machine_Learning_A_Probabilistic_Perspective_by_Kevin_P_Murphy_z.pdf
25.7 MB
🧠 Topic: Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
💠 Link: https://probml.github.io/pml-book/
💡 Tags: #machine_learning #book
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://probml.github.io/pml-book/
💡 Tags: #machine_learning #book
➖➖➖➖➖➖➖
🧩 More: @Aitive
🧠 Topic: Neural Rendering Course (SIGGGRAPH 2021)
💠 Link: https://youtu.be/otly9jcZ0Jg
💡 Tags: #deep_learning #GANs #artificial_intelligence #computer_graphics #neural_rendering
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://youtu.be/otly9jcZ0Jg
💡 Tags: #deep_learning #GANs #artificial_intelligence #computer_graphics #neural_rendering
➖➖➖➖➖➖➖
🧩 More: @Aitive
YouTube
Advances in Neural Rendering (SIGGRAPH 2021 Course) Part 1 of 2
This is an updated version of our CVPR 2020 tutorial
(https://www.youtube.com/watch?v=LCTYRqW-ne8).
Much have changed in a year!
For more details, visit https://www.neuralrender.com/
Introduction
0:00:00 Intro & Fundamentals
Generative Adversarial Networks…
(https://www.youtube.com/watch?v=LCTYRqW-ne8).
Much have changed in a year!
For more details, visit https://www.neuralrender.com/
Introduction
0:00:00 Intro & Fundamentals
Generative Adversarial Networks…
🧠 Topic: Task2Vec
💠 Link: https://openaccess.thecvf.com/content_ICCV_2019/papers/Achille_Task2Vec_Task_Embedding_for_Meta-Learning_ICCV_2019_paper.pdf
💡 Tags: #meta_learning #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://openaccess.thecvf.com/content_ICCV_2019/papers/Achille_Task2Vec_Task_Embedding_for_Meta-Learning_ICCV_2019_paper.pdf
💡 Tags: #meta_learning #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
🧠 Topic: Middlesex University Dubai MSc Data Science course
💠 Link: https://github.com/IvanReznikov/mdx-msc-data-science
💡 Tags: #machine_learning #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://github.com/IvanReznikov/mdx-msc-data-science
💡 Tags: #machine_learning #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
GitHub
GitHub - IvanReznikov/mdx-msc-data-science: Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning…
Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov - IvanReznikov/mdx-msc-data-science
🧠 Topic: Data Science 4 Life Science: Chemistry lectures
💠 Link: https://github.com/IvanReznikov/ds4ls-public
💡 Tags: #machine_learning #deep_learning #chemistry
➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://github.com/IvanReznikov/ds4ls-public
💡 Tags: #machine_learning #deep_learning #chemistry
➖➖➖➖➖➖➖
🧩 More: @Aitive
GitHub
GitHub - IvanReznikov/ds4ls-public
Contribute to IvanReznikov/ds4ls-public development by creating an account on GitHub.
🧠 Topic: Deep Learning Nanodegree Foundation
💠 Link: https://github.com/IvanReznikov/deep-learning
💡 Tags: #machine_learning #deep_learning ➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://github.com/IvanReznikov/deep-learning
💡 Tags: #machine_learning #deep_learning ➖➖➖➖➖➖➖
🧩 More: @Aitive
10 Techniques to deal with Imbalanced Data.pdf
369.7 KB
🧠 Topic: 10 Techniques to deal with Imbalanced Data
💡 Tags: #machine_learning #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive
💡 Tags: #machine_learning #deep_learning
➖➖➖➖➖➖➖
🧩 More: @Aitive