"a tiny vision language model that kicks ass and runs anywhere", that is exactly how the creators of Moondream defined...
Deep Learning
Page 2 of 3 · 25 articles
Articles about Deep Learning fundamentals and advanced methods, from supervised to self-supervised learning, including Vision Transformers, DINO, CLIP, SAM2, and more; all implemented in PyTorch.
SAM3 is just announced, and everybody is talking about it. But what is this hype all about? As you probably...
→ _An article explaining Grounding DINO and how to detect objects with text prompts_. I have so many articles about...
→ Step-by-step guide for training DETR(Detection Transformer) object detection models in PyTorch with any dataset. When it comes to object...
→ Article explaining DINOv3 and demonstrating how to create similarity maps using cosine similarity formula. Just look around. You probably...
→ Article about explaining CLIP and demonstrating image classification using CLIP models. I normally like to write an introduction paragraph...
→ Article about how to segment objects using the pretrained promptable SAM2 segmentation models on videos. Segment Anything (SAM) is...
→ Step-by-step guide for training custom Vision Transformer image classification models in PyTorch. Until recently, CNNs(Convolutional Neural Networks) were...
→ A step-by-step guide to training image classification models using TensorFlow Keras with any custom dataset. I wrote 2 articles...
→ Model Training: Step-by-step guide for training custom PyTorch Image Classification models with any dataset. Okay, now it is time...