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Programming nerd Nicholas Renotte explains in 3 minutes how to build a chat app using a large language model. He nets out how retrieval augmented generation builds on LLMs, then shows how custom data, like a PDF, can be loaded and used for more meaningful, insightful chat responses.
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❤️ *Fooocus in rundiffusion* ➜ https://wl.tools/rundiffusion
*Use Coupon code* : weblearners15
🏆 *GravityWrite* ➜ https://app2.gravitywrite.com/content/new?category=7&prompt=1659
🛍️ *Pexels* ➜ https://www.pexels.com/
💡 *Google colab Facefusion* ➜ https://colab.research.google.....com/drive/1P7SJHN-jz
👉 *Github Page* ➜ https://github.com/lllyasviel/Fooocus
🎈 *Fooocus Local Installation* ➜ https://www.youtube.com/watch?v=j1WuQndmgFE
⚡ *Google Colab Fooocus* ➜ https://colab.research.google.....com/github/lllyasvie
📌 *Get New Video Updates* ➜ https://whatsapp.com/channel/0....029VaAYBig7IUYaC6vcu
🎬𝗧𝗮𝗯𝗹𝗲 𝗼𝗳 𝗰𝗼𝗻𝘁𝗲𝗻𝘁𝘀
00:00 Intro
00:43 Fooocus Tool Intro
01:10 Installing Fooocus
01:40 Launch Fooocus on Run Diffusion
03:14 Generate the AI Character
05:53 Create Different Variations of your character
07:18 Extend the image, & get more background
07:50 Generate same AI character in different poses
08:51 Fix the face of your AI character
09:52 Create a video of your AI Character
Ever dreamed of having your own AI influencer to promote your brand or content? This video uncovers the secrets to building a captivating AI character from the ground up!
One of the biggest challenges with AI influencers? Maintaining consistent character design. But fear not! We'll be using a powerful tool that tackles this exact issue. By the end of this video, you'll be equipped to create your own captivating AI influencer with a consistent look that will grab attention on platforms like Instagram and YouTube Reels!
Subscribe for more cutting-edge content creation tutorials! And don't forget to share your AI creations in the comments below!
#aiinfluencer #artificialintelligence #digitalmarketing #aitechnology #aiinfluencercreation #realmakingai #technology #ai #influencer #createaifromscratch #digitalpersona #aiforcontent #futureofai #aitech #techinfluencer #aimodeltutorial #aidigitalmarketing #contentcreation #futuretech #learnai
🎁 *Tools & Discounts*
🟡 📋 GravityWrite | https://wl.tools/gravitywrite
🟡 📊 WebSpaceKit | 50% off | https://wl.tools/webspacekit
🟡 📰 MakeYourWP | 25% off | https://wl.tools/makeyourwp
🟡 🔍 Grammarly｜20% off｜https://wl.coupons/Grammarly
🟡 📈 Mangools｜10% off｜https://wl.coupons/mangools
🟡 🖼️ Astra｜10% off Coupon: WLDiscount｜https://wl.coupons/Astra
🟡 📹 Pictory.ai | 20% off, Coupon: WLPROMO | https://wl.tools/pictory.ai
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AI influencers are making real money selling content on websites like OnlyFans. Learn about the latest generative AI tech, like Stable Diffusion XL, and how to run it locally on your PC for free.
#ai #tech #thecodereport
💬 Chat with Me on Discord
https://discord.gg/fireship
🔗 Resources
Fooocus on GitHub https://github.com/lllyasviel/Fooocus
Aitana Influencer Article https://www.entrepreneur.com/b....usiness-news/this-ai
OpenAI Drama https://youtu.be/4Ff2ZrhVkp0?si=gyRHZl_LJw_NU6Co
📚 Chapters
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🎨 My Editor Settings
- Atom One Dark
- vscode-icons
- Fira Code Font
🔖 Topics Covered
- Who is behind Aitana Lopez AI
- StableDiffusionXL tutorial
- Fooocus tutorial
- How to make money with AI
- How to generate AI images for free
- AI business ideas
We use Aitana López, an AI-generated influencer, as inspiration for our next project. Let's build an AI model using Midjourney, ChatGPT, and Custom GPTs.
Try the Image Caption Generator: https://chat.openai.com/g/g-yC....GszMTwJ-image-captio
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Learn more about watsonx: https://ibm.biz/BdvDnr
AI promises to touch every aspect of work and life, but how do they get made?
In this video Martin keen walks through a five step framework for how to build and deploy AI models.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdKUNr
Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.
Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn
⭐️ Contents ⭐️
Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn
Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables
Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures
Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive
Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers
Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots
Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting
Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations
Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops
Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations
MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning
Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records
Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet
Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning
Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method
Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb
Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust
Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing
Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs
Conclusion
⌨️ (37:15:45) What's Next
Want to unlock the power of speech recognition and convert audio into written text using Python? This step by step comprehensive tutorial guides you through the process of creating a Python script that effortlessly transcribes speech to text. Whether you're a beginner or an experienced programmer, join us as we explore step-by-step instructions, practical examples, and valuable insights into the fascinating world of speech recognition. Watch this video and equip yourself with the skills to enhance accessibility and build voice-controlled applications.
Documentation Link:
https://www.geeksforgeeks.org/....python-convert-speec
#python #speechrecognition #codingtutorial #pythontutorial
In part 3 of this Kivy tutorial series, we're going to create a new page for our chat application. Once the user fills out the form for username, port, and ip, we want them to hit connect, and then connect to the server.
Text-based tutorial and sample code: https://pythonprogramming.net/....screen-manager-pages
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Today we are going to create a tic tac toe game using the python programming language. This video will teach you the way to create a nice and easy playable tic tac toe game in python!
All the source code and other material will be uploaded on https://codewithharry.com as and when available!
Source Code: https://gist.github.com/CodeWi....thHarry/d83fed6958b7
►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: www.instagram.com/codewithharry
python, C, C++, Java, JavaScript and Other Cheetsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Learn in One Video[++]:
Python[15 Hr] - https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr] - https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr] - https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr] - https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min] -https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr] - https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr] - https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr] -https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min] -https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr] -https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr] -https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr] -https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr] -https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr] -https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr] -https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr] -https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr] -https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr] -https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr] -https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr] -https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
►Complete course [playlist]:
React - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
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Best Hindi Videos For Learning Programming:
►Learn Python In One Video - https://www.youtube.com/watch?v=qHJjMvHLJdg
►Learn JavaScript in One Video - https://www.youtube.com/watch?v=onbBV0uFVpo
►Learn PHP In One Video - https://www.youtube.com/watch?v=xW7ro3lwaCI
►Machine Learning Using Python - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Creating & Hosting A Website (Tech Blog) Using Python - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Advanced Python Tutorials - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Object Oriented Programming In Python - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Python Data Science and Big Data Tutorials - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
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Have you ever wanted to build a web app for your data science project? But perhaps did not because of the extensive time needed to code the web app or intimidated by Django and flask? In this video, I will show you how to build an (intermediate level of difficulty) machine learning powered data science web app in Python using the streamlit library in a little over 100 lines of code. Particularly, we will be building a Penguins species classification web app using the Palmer Penguins dataset (4 quantitative variables and 3 qualitative variables; 1 of the qualitative variable will be used as the target variable for classification).
🌟 Buy me a coffee: https://www.buymeacoffee.com/dataprofessor
⭕ Code and Data:
✅ https://github.com/dataprofess....or/code/tree/master/
⭕ Playlist:
Check out our other videos in the following playlists.
✅ Data Science 101: https://bit.ly/dataprofessor-ds101
✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast
✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship
✅ Bioinformatics: http://bit.ly/dataprofessor-bioinformatics
✅ Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox
✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit
✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny
✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab
✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas
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⭕ Recommended Books:
✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt
✅ Data Science from Scratch : https://amzn.to/3fO0JiZ
✅ Python Data Science Handbook : https://amzn.to/37Tvf8n
✅ R for Data Science : https://amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv
✅ AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd
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Welcome to a new Python for Finance tutorial series.
In this series, we're going to build a real time and automated trading platform using Python.
Lesson 1 - Introduction and Getting Real Time Stock Data
Lesson 2 - Getting and Storing Multiple Real Time Stock Data
Lesson 3 - Customizing Real Time and Automated Trading Platform Layouts
Lesson 4a - Building Candlestick Chart and Moving Average Function
Lesson 4b - Plotting Candlestick Chart and Moving Average
Lesson 5 - Plotting Line Charts in Mini Charts
Lesson 6 - Plotting Trading Volume Bar Chart
Lesson 7 - Plotting Relative Strength Index (RSI) Line Chart
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Building a Python website for Beginners using Django Framework . Learn how to create your first ever Coffee Shop Django web Application.
Use the django-admin tool to generate a project folder, the basic file templates, and manage.py, which serves as your project management script.
Use manage.py to create one or more applications.
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===== Overview =======
• Use the django-admin tool to generate a project folder, the basic file templates, and manage.py, which serves as your project management script.
• Use manage.py to create one or more applications. ...
• Register the new applications to include them in the project.
• Hook up the url/path mapper for each application.
#python #Django #djangotutorial #SenGideons
In this episode, you'll learn how Flask's app config works along with creating configuration files and working with Flask's environment variables.
Text based version available here - https://pythonise.com/feed/fla....sk/flask-configurati
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Make ur own #File #sender #app in #python
With only few lines of code in python, you can easily share ur videos, photos, audios etc from
1) your computer to another computer
2) your computer to android mobile
3) your mobile to computer
With Very fast 5MB/sec transfer speed like #xender
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Thanks for Watching
-Deploy ML model on webpage using flask.
-Deploying your machine learning model onto a webpage is very important part of a website. Flask allows you to do that .
-Flask is a microweb framework that integrates web application with any python program.
Source code : https://github.com/nachi-hebba....r/Forest-Fire-Predic
You can connect with me on LinkedIn: https://www.linkedin.com/in/na....chiketa-hebbar-86186
My published research paper on the same project: https://www.ijltemas.in/Digita....lLibrary/Vol.9Issue5
Recommended books for getting better at ML Web Apps and Flask:
Monetizing Machine Learning: Quickly Turn Python ML Ideas Into Web Applications on the Serverless Cloud: https://amzn.to/32lLXuM
Flask Web Development: Developing Web Applications with Python: https://amzn.to/32caPFm
Hands-On Python Deep Learning for the Web: https://amzn.to/34CxnCb
Flask web development from scratch : https://amzn.to/32f00lS
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