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Learn to integrate and utilize the ChatGPT API in Python, from basic queries to building a Gradio chat application, with practical examples and code demonstrations.
Explore OpenAI's Whisper, a powerful speech recognition model capable of transcribing and translating 97 languages, with insights on its implementation, training, and performance.
Explore Weights and Biases for enhanced deep learning tracking, offering improved visualization, experiment comparison, and collaborative features for more efficient model development.
Explore robot simulation using Isaac Sim and Python, from basic control to programming complex movements like jumps. Learn about URDF files and discover the potential of virtual robotics experimentation.
Explore GPyT, an open-source alternative to Github Copilot. Learn how to use this generative Python transformer model for code autocompletion and generation across various programming tasks.
Explore NVIDIA Jarvis API for end-to-end conversational AI, including text-to-speech, speech-to-text, and named entity recognition. Learn installation, setup, and practical applications.
Learn to create AI that navigates Cyberpunk 2077 using Python and OpenCV. Explore computer vision techniques for game automation and pathfinding in this hands-on tutorial.
Explore techniques for optimizing chatbot responses using multiple models, focusing on scoring methods, output analysis, and strategies to enhance answer quality and relevance.
Learn to implement facial recognition in video using Python, covering encoding, labeling, and real-time detection techniques for efficient and accurate face identification.
Learn to implement facial recognition in Python using the face_recognition library. Covers setup, encoding, and drawing rectangles around detected faces.
Explore autonomous driving simulation using Carla and Python. Learn to create virtual environments, control vehicles, and implement self-driving logic with open-source tools and APIs.
Learn to build a console-based chat application using Python sockets. Covers creating sockets, receiving messages, reading sockets, and implementing notification sockets in a practical, hands-on tutorial.
Learn data analysis with Python and Pandas through practical examples. This tutorial covers installation, datasets, reading data, and basic operations to help you start working with Pandas independently.
Explore Requests-HTML, a new Python library for HTML parsing, with practical examples and demonstrations of its key features and capabilities.
Learn to optimize Python code using Cython, bridging Python and C/C++ for enhanced performance. Explore setup, declarations, testing, and improvements in this practical tutorial.
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