A Developer Guide to Use Stable Diffusion Text-to-Image AI Model in Python
Learn to implement Stable Diffusion text-to-image AI model in Python, covering setup, pipeline creation, model testing, and Gradio app development for both local and Google Colab environments.
GPT-4 Codes ChatGPT Chatbot with Memory Webapp with FastAPI and JavaScript
Build a ChatGPT-like webapp with memory using FastAPI and JavaScript. Learn to implement conversational AI, manage token limits, and create responsive UIs for an engaging chatbot experience.
Creating a GPT-3 Webapp with OpenAI API, FastAPI, HTML, JavaScript, and Python
Learn to build a GPT-3 webapp using OpenAI API, FastAPI, HTML, JavaScript, and Python. Covers frontend and backend development, API integration, and practical coding techniques.
ChatGPT Teaches Numpy - Python Numpy Tutorial
Comprehensive tutorial on NumPy: from basics to advanced concepts. Learn array creation, manipulation, mathematical operations, reshaping, and integration with Python data structures.
GPT-4 API with Streaming Responses, Chat History, Streamlit, Gradio UI, JavaScript, FastAPI Webapp
Comprehensive tutorial on implementing GPT-4 API with streaming, chat history, and various UI options. Learn to build interactive AI-powered applications using Streamlit, Gradio, and FastAPI.
Raspberry Pi Pico - Inputs & Servo Control
Learn to control inputs and servos with Raspberry Pi Pico using MicroPython. Hands-on tutorial covers switches, potentiometers, LEDs, and SG90 servo, with code and wiring diagrams provided.
Raspberry Pi Zero Hamster Feeder
Build a servo-controlled pet feeder using Raspberry Pi Zero and SG90 servo motors. Learn to set up hardware, write Python code, and create an automated feeding system for small pets.
Django 3.2, Tech News, and Emerging Technologies - TechChat Tuesdays 36
Explore tech news and trends with DevNews discussions on Django, robotics, legal cases, space exploration, web development, gaming, and more. Engaging insights for developers and tech enthusiasts.
Hopsworks - The Python-Centric Enterprise Feature Store
Explore Hopsworks feature store for Python-centric ML operations, covering feature engineering, pipelines, and real-time serving with an end-to-end use case demonstration.
XGBoost in Python from Start to Finish
Comprehensive guide to implementing XGBoost in Python, covering data preparation, model building, and optimization techniques for effective machine learning applications.
Support Vector Machines in Python from Start to Finish
Comprehensive guide to implementing Support Vector Machines in Python, covering data preparation, model building, and optimization techniques for machine learning practitioners.
Efficient Geometry-Aware 3D Generative Adversarial Networks - EG3D
Hands-on guide to using pre-built EG3D models on Ubuntu 22.04 with Python 3.9, PyTorch, and CuDA GPU libraries. Learn to visualize, export, and generate 3D shapes from various models.
One-shot Face Stylization with JoJoGAN - In-depth Tutorial - Part 1
Learn face stylization with JoJoGAN: transfer styles to images using minimal data and GPU assistance. Covers setup, existing models, custom training, and animal face styles.
Forecast Any Mathematical Number Sequence with Regression - Machine Learning
Learn to generate and forecast mathematical number sequences using Python, pandas, numpy, and scikit-learn. Visualize data with matplotlib and apply regression models to predict future numbers in various function-based series.
Topic Modeling Workshop for Beginners in Python
Learn topic modeling in Python using Gensim, spaCy, and NLTK. Covers data preparation, exploratory analysis, tokenization, LDA modeling, and evaluation techniques for beginners.
Graph Neural Networks Implementation in Python
Learn Graph Neural Networks implementation in Python, covering graph representations, node embeddings, message passing, and practical applications using NetworkX and PyG libraries.
Create and Visualize Your First Convolutional Neural Network in Python
Learn to create and visualize a Convolutional Neural Network (CNN) in Python, covering key concepts like convolution, pooling, flattening, and dropout with practical examples and code implementation.
Create and Visualize Your First Perceptron and Feed Forward Network in Python
Learn to build and visualize Perceptron and Feed Forward networks in Python using Keras and TensorFlow. Ideal for beginners, this hands-on tutorial covers network creation, visualization, and fundamental deep learning concepts.
Create and Visualize Your Very First Neural Network in Python
Create and visualize your first neural network in Python using Keras and TensorFlow. Learn step-by-step, from basic concepts to building a sequential model, with helpful visualizations and a pre-trained network example.
Predicting Wildfire Hotspots Using California Wildfire Data
Learn to predict wildfire hotspots using California data. Covers data collection, feature engineering, ML modeling with LightGBM/XGBoost/H2O.ai, and visualization techniques for effective wildfire risk assessment.
Develop Test Suites for Machine Learning Models and Data with Deepchecks
Hands-on tutorial for developing test suites with Deepchecks, covering data validation, distribution analysis, custom tests, and model validation for machine learning projects.