Towards Ambient Intelligence in AI-Assisted Healthcare Spaces - Dr. Fei-Fei Li, Stanford University
Exploring AI-powered ambient intelligence in healthcare environments to enhance patient care through computer vision and human activity understanding, with real-world applications and future directions.
Interpreting Deep Neural Networks Towards Trustworthiness
Explore methods for interpreting deep neural networks, including ACD and AWD, to enhance trustworthiness in AI. Learn about feature importance, scientific interpretability, and quality control in data science.
DenseNet Deep Neural Network Architecture Explained
Comprehensive explanation of DenseNet architecture, including its benefits and implementation in PyTorch. Covers theory, results, and practical coding walkthrough for deep learning enthusiasts.
AI Engineer Skills for Beginners - OpenAI API and Python
Beginner-friendly introduction to AI engineering, covering APIs, Python, and hands-on projects like building chatbots, chaining prompts, transcription, and image manipulation using OpenAI's tools.
GPT-4 Vision and Speech Code Examples
Explore GPT-4's vision and speech capabilities through practical code examples, including video narration, website analysis, and creative storytelling using AI-generated content.
Fooocus: A User-Friendly Stable Diffusion Web UI for High-Quality Image Generation - Tutorial
Explore Fooocus, a powerful Stable Diffusion Web UI with 200+ styles, automatic model downloads, and advanced features for effortless AI image generation. Learn installation, usage, and creative techniques.
Transforming Computer Vision with LLMs - Key Projects and Insights
Explore how LLMs revolutionize computer vision through projects like VisProg and VoxelGPT. Gain insights on challenges, prompt engineering, and the future of AI in visual understanding.
Machine Learning Day: From Generative AI to Vector Databases
Explore cutting-edge Machine Learning topics with expert talks on multimodal generative AI, OpenAI embeddings, vector databases, and building products in the GenAI era.
FLUX LoRA Training Tutorial: From Zero to Hero with Kohya SS GUI - 8GB GPU, Windows
Comprehensive guide to FLUX LoRA training using Kohya SS GUI, covering installation, configuration, dataset preparation, training process, and image generation with practical tips for optimal results.
SUPIR Online - Ultimate Image Upscaler Tutorial
Comprehensive tutorial on SUPIR Online, an AI-powered image upscaler. Learn registration, parameter settings, upscaling techniques, background removal, and best practices for enhancing image quality.
Managing Micro-Containers Without DNF or Microdnf
Explore alternative methods for managing micro-containers without DNF or Microdnf, focusing on servicing containers and efficient package management for Fedora and RHEL.
Open Source Home Automation - Three Years Later
Explore open-source home automation solutions, from sensors to image processing, balancing comfort, openness, and usability in smart home projects.
LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference
Convert a fine-tuned ViT Transformer to ONNX format and perform CPU inference, enhancing model portability and efficiency for custom image classification tasks.
MLOps: C# Image Recognition with ResNet50v2 Model
Implement image recognition using ResNet50v2 in C# with ONNX and SixLabors.ImageSharp for efficient MLOps workflows.
Multimodal Q&A RAG Tool with Gemini for Data Science and Machine Learning
Develop a multimodal Q&A RAG tool using Gemini for unstructured data analysis, enhancing data science and machine learning capabilities.
LLMOps: Comparison of OpenVino, ONNX, TensorRT, and PyTorch Inference
Explore model conversion to ONNX, OpenVino, and Tensor-RT formats for optimized CPU and GPU inference, comparing performance against native PyTorch.
MLOps: OpenVino Quantized Pipeline for Grammatical Error Correction
Build a grammar error correction model using OpenVino, combining Roberta-based error detection and Flan-T5 correction, with quantization for efficient CPU inference.
Computer Vision: OCR Tesseract in C# - Data Science and Machine Learning
Implement OCR using Tesseract library in C# for extracting text from images, enhancing your computer vision skills.
Object Detection with Faster R-CNN in C# Using ONNX on CPU
Implement object detection using Faster R-CNN in C# with ONNX format on CPU, leveraging machine learning for efficient image analysis.
LLMOPs: Multimodal Prompting and Inference with Phi-3 Vision 128K Instruct on CPU - ONNX 4-Bit Quantization in C#
Explore multimodal prompting and CPU inference using Phi 3 Vision 128K Instruct, quantized to 4 bits in ONNX format, with C# implementation for efficient machine learning operations.
LLMOps: Converting Video Classifier (ViViT) to ONNX and Inference on CPU
Convert a Video Vision Transformer to ONNX format and perform CPU inference, enhancing model portability and deployment flexibility for video classification tasks.