Building a Convolutional Neural Network in PyTorch

https://machinelearningmastery.com/building-a-convolutional-neural-network-in-pytorch/

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How do Transformers work?

All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as language models. This means they have been trained on large amounts of raw text in a self-supervised fashion. Self-supervised learning is a type of training in which the objective is automatically computed from the inputs of the model. That means that humans are not needed to label the data!

This type of model develops a statistical understanding of the language it has been trained on, but it’s not very useful for specific practical tasks. Because of this, the general pretrained model then goes through a process called transfer learning. During this process, the model is fine-tuned in a supervised way — that is, using human-annotated labels — on a given task

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Data Science With Python Workflow Cheat Sheet

Creator: business Science
Stars ⭐️: 75
Forked By: 38

https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_Python_Workflow.pdf

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80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains
📌 Agriculture and Food
📌 Medical and Healthcare
📌 Satellite
📌 Security and Surveillance
📌 ADAS and Self Driving Cars
📌 Retail and E-Commerce
📌 Wildlife

Classification library
https://github.com/Tessellate-Imaging/monk_v1

Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo

Detection and Segmentation Library
https://github.com/Tessellate-Imaging/

Monk_Object_Detection
Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo

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Google just dropped Generative AI learning path with 9 courses:

🤖: Intro to Generative AI
🤖: Large Language Models
🤖: Responsible AI
🤖: Image Generation
🤖: Encoder-Decoder
🤖: Attention Mechanism
🤖: Transformers and BERT Models
🤖: Create Image Captioning Models
🤖: Intro to Gen AI Studio

🌐 Link: https://www.cloudskillsboost.google/paths/118

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Get started in Data Science with Microsoft's FREE course for beginners.

- 10 weeks
- 20 lessons
- Lecture notes
- 100% FREE

https://microsoft.github.io/Data-Science-For-Beginners/

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Building Transformer Models with Attention Crash Course. Build a Neural Machine Translator in 12 Days

https://machinelearningmastery.com/building-transformer-models-with-attention-crash-course-build-a-neural-machine-translator-in-12-days/

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Please move to our new channel

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Automatically find issues in image datasets and practice data-centric computer vision.

CleanVision automatically detects potential issues in image datasets like images that are: blurry, under/over-exposed, (near) duplicates, etc. This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset, which you want to address before applying machine learning. CleanVision is super simple -- run the same couple lines of Python code to audit any image dataset!

https://github.com/cleanlab/cleanvision

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The Attention Mechanism from Scratch

https://machinelearningmastery.com/the-attention-mechanism-from-scratch/

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pandas for Data Science
Learning Path

Skills: pandas, Data Science, Data Visualization

In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python.

https://realpython.com/learning-paths/pandas-data-science/

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Public APIs

A collective list of free APIs

📃 Creator: public-apis

📃 Forked by: 27.8k

🌐 GitHub repo: https://github.com/public-apis/public-apis

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How to Add an Editor to Your Django App (Ckeditor)

In this tutorial, we will be looking at how to add an editor to your Django app which will ease your content creation process.

https://bytexplain.com/how-to-add-an-editor-to-your-django-app-ckeditor

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The Transformer Model

https://machinelearningmastery.com/the-transformer-model/

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⭐️ Data Science Books
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⭐️ Python | Algorithms | Data Structures
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⭐️ Programming Languages | Web & Mobile Development | SQL | Software Design & Analysis
https://t.me/Ebooks2023

Machine Learning With Python
Learning Path

Skills: Image Processing, Text Classification, Speech Recognition

Machine learning is a field of computer science that uses statistical techniques to give computer programs the ability to learn from past experiences and improve how they perform specific tasks.

With this learning path, you’ll sample a range of common machine learning scenarios using Python.

https://realpython.com/learning-paths/machine-learning-python

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What Is Attention?

Attention is becoming increasingly popular in machine learning, but what makes it such an attractive concept? What is the relationship between attention applied in artificial neural networks and its biological counterpart? What components would one expect to form an attention-based system in machine learning?

https://machinelearningmastery.com/what-is-attention/

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🖥 Free Courses on Large Language Models

▪ChatGPT Prompt Engineering for Developers

▪LangChain for LLM Application Development

▪Building Systems with the ChatGPT API

▪Google Cloud Generative AI Learning Path

▪Introduction to Large Language Models with Google Cloud

▪LLM University

▪Full Stack LLM Bootcamp

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The source code for DragGAN has been released! 🔥🔥🔥

We can finally play with that marvel!

🔗 GitHub repository: https://github.com/XingangPan/DragGAN

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A special and important channel to download the most important books to learn programming and data science

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