ExplainingAI | Poke

ExplainingAI @UCLywqeZTOeWNYDy3niClMww@youtube.com

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Hello, I am Tushar and this channel is a product of two thi

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DETR Explained | End-to-End Object Detection with Transformers | DETR Tutorial Part 1

Denoising Diffusion Implicit Models (DDIM) Explained

YOLOv4 Explained | CIOU Loss, CSPDarknet53, SPP, PANet | Everything about it

YOLOv2 (YOLO9000) and YOLOv3 Explained

Building a Video Generation Model with Diffusion Transformers | Explanation and Implementation

Single Shot Multibox Detector | SSD Object Detection Explained and Implemented

Scalable Diffusion Models with Transformers | DiT Explanation and Implementation

YOLO Object Detection | YoloV1 Explanation and Implementation Tutorial

ControlNet with Diffusion Models | Explanation and PyTorch Implementation

Faster RCNN PyTorch Code Walkthrough | Fine-Tuning and Custom Dataset Training

Faster R-CNN PyTorch Implementation

Faster R-CNN Explanation | Region Proposal Network

Fast R-CNN Explained | ROI Pooling

Mean Average Precision (mAP) | Explanation and Implementation for Object Detection

R-CNN Explained

Stable Diffusion from Scratch in PyTorch | Conditional Latent Diffusion Models

Stable Diffusion from Scratch in PyTorch | Unconditional Latent Diffusion Models

DCGAN Tutorial with PyTorch Implementation

Generative Adversarial Networks | Tutorial with Math Explanation and PyTorch Implementation

Denoising Diffusion Probabilistic Models Code | DDPM Pytorch Implementation

Denoising Diffusion Probabilistic Models | DDPM Explained

Image Classification Using Vision Transformer | An Image is Worth 16x16 Words

ATTENTION | An Image is Worth 16x16 Words | Vision Transformers (ViT) Explanation and Implementation

PATCH EMBEDDING | Vision Transformers explained

I implement DALLE 1 from SCRATCH on MNIST

VQ-VAE | Everything you need to know about it | Explanation and Implementation

Implementing Variational Auto Encoder from Scratch in Pytorch

Understanding Variational Autoencoder | VAE Explained