DCGAN Implementation From Scratch
Learn to implement DCGAN from scratch, focusing on convolutional neural networks for image generation. Covers discriminator and generator implementation, weight initialization, and training on MNIST and CelebA datasets.
YOLOv1 from Scratch
Comprehensive tutorial on implementing YOLOv1 from scratch, covering architecture, loss function, dataset preparation, training, and evaluation for object detection.
Classifying Skin Cancer - TensorFlow Tutorial
Build a TensorFlow model to classify skin lesions as benign or malignant. Learn preprocessing, model setup, training, and evaluation using metrics like ROC curves for this important medical application.
TensorFlow Tutorial - TensorFlow Datasets
Learn to use TensorFlow Datasets for loading, preprocessing, and modeling image and text data. Covers MNIST image classification and IMDB sentiment analysis with practical examples and code demonstrations.
Train Mask R-CNN for Image Segmentation
Learn to train and implement Mask R-CNN for image segmentation using free online GPU resources. Covers dataset preparation, model training, and practical application for object detection and segmentation.
Build a Deep Facial Recognition App - Preparing Data for Deep Learning - TF Dataloader
Learn to build a deep facial recognition app using TensorFlow, covering data preparation, image processing, and pipeline creation for training and testing a Siamese Neural Network model.
Stable Diffusion - Master AI Art: Installation, Prompts, Txt2img-Img2img, Out-Inpaint and Resize Tutorial
Comprehensive tutorial on Stable Diffusion AI art generation, covering installation, prompts, text-to-image, image-to-image, outpainting, inpainting, and advanced techniques for creating diverse AI-generated artwork.
Get Started With Stable Diffusion - Code, HF Spaces, Diffusers Notebooks
Learn three methods to use Stable Diffusion: HuggingFace Spaces, Colab notebooks, and local setup. Gain practical skills in image generation, metadata reproduction, and interpolation techniques.
End to End Object Detection With Transformers
Comprehensive walkthrough of Facebook's DETR model, covering implementation details, attention visualization, and training process for end-to-end object detection using transformers.
VOS - Learning What You Don't Know By Virtual Outlier Synthesis
Explore virtual outlier synthesis for robust image classification and object detection, enhancing out-of-distribution awareness in AI models through innovative feature space sampling techniques.
ConvNeXt- A ConvNet for the 2020s - Paper Explained
Explore ConvNeXt, a modern ConvNet outperforming vision transformers in computer vision tasks. Learn about its design, training, and performance across various applications.
Efficient Geometry-Aware 3D Generative Adversarial Networks - GAN Paper Explained
Explore cutting-edge 3D generative models with a deep dive into efficient geometry-aware GANs, NeRF technology, and novel scene representation techniques for advanced computer vision applications.
Do Vision Transformers See Like Convolutional Neural Networks - Paper Explained
Explore the differences between Vision Transformers and CNNs, examining feature learning, receptive fields, data impact, and architectural elements for a deeper understanding of these AI models.
Emerging Properties in Self-Supervised Vision Transformers - Paper Explained
Explore DINO: self-supervised vision transformers with emerging properties like segmentation mask prediction and high-quality features for k-NN classification. In-depth analysis of methodology, results, and visualizations.
Stable Diffusion Google Colab - Continue, Directory, Transfer, Clone, Custom Models, CKPT SafeTensors
Learn to use Google Colab for Stable Diffusion: set up, train models, generate images, transfer projects, use custom files, and integrate with Hugging Face. Explore advanced techniques for AI image generation.
Stable Diffusion DreamBooth Tutorial Using Automatic1111 Web UI - Ultra Detailed
Comprehensive guide to Stable Diffusion DreamBooth: installation, training, fine-tuning, and advanced techniques for creating high-quality AI-generated images with custom subjects and styles.
How to Do Stable Diffusion LORA Training by Using Web UI on Different Models
Comprehensive guide to LoRA training in Stable Diffusion, covering installation, image preparation, parameter tuning, and image generation using SD 1.5 and 2.1 models.
Easiest Way to Install and Run Stable Diffusion Web UI on PC Using Open Source Automatic Installer
Step-by-step guide to installing and running Stable Diffusion Web UI on PC using an open-source automatic installer, covering both automated and manual installation methods.
Using Machine Learning and AI to Serve People and Communities
Explore AI's potential and challenges in various sectors, from facial recognition to medical devices. Learn about bias, career success prediction, and building better technology for societal benefit.
OpenAI CLIP - Connecting Text and Images - Paper Explained
Explore OpenAI's CLIP model for connecting text and images, covering its methodology, zero-shot capabilities, and performance comparisons. Learn about its embedding space quality and limitations.
Stable Diffusion - What, Why, How?
Explore Stable Diffusion's text-to-image generation, compare it to DALL-E 2, and learn advanced techniques like custom pipelines, video creation, and image-to-image transformation.