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Comprehensive guide to building a face detection model using TensorFlow and Python, covering data collection, augmentation, model creation, training, and real-time testing for practical implementation.
Enhance image resolution using ESRGAN and Python. Learn to upscale images up to 4x size with this beginner-friendly tutorial covering repo cloning, model setup, and dependency installation.
Learn to build a real-time Automatic Number Plate Recognition system using Python, TensorFlow, and EasyOCR. Covers plate detection, OCR application, and result saving for practical implementation.
Comprehensive guide to Tensorflow Object Detection: from setup to advanced projects. Learn to build, train, and deploy models for gesture, defect, and sentiment detection using Python, JavaScript, and Raspberry Pi.
Learn to build an Automatic Number Plate Recognition system using Python, OpenCV, and EasyOCR. Master image processing, contour detection, and optical character recognition for practical computer vision applications.
Automate sales forecasting using AutoAI and Python, integrating machine learning pipelines with Excel for efficient and accurate predictions.
Learn to create a mock OpenAI server for automating financial tasks, exploring API simulation and data processing techniques for educational purposes.
Learn to fine-tune large language models with PyReft, using your own data to customize and enhance AI performance for specific tasks and domains.
Discover how to build a crypto trading bot using LLMs, connect it to Kraken, make trading decisions, and refactor code with finbert in this experimental project with full code access.
Master LangGraph fundamentals by building a stock screener agent from scratch, covering LLM integration, state management, graph construction, and execution in just 30 minutes.
Master Vision Transformers by building an AI model from scratch to detect trading candlesticks using PyTorch and advanced data augmentation techniques.
Master reinforcement learning by training AI to dominate Brackey's challenging game using GoDot and custom environments in this hands-on tutorial.
Master fine-tuning large language models with LoRA technique on custom datasets through hands-on implementation and practical examples.
Master building a custom Sign Language Detection Transformer from scratch using PyTorch, covering data collection, fine-tuning, and real-time detection implementation.
Master comprehensive machine learning and data science through hands-on projects including reinforcement learning, object detection, sign language recognition, and data apps.
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