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Recent Notes

Introduction to DDPM
Sep 25, 2026
introduction to flow models
Sep 25, 2026
RAG - retrieval augmented generation
Sep 24, 2026
flow matching
Sep 22, 2026
variational autoencoder
Sep 21, 2026
"Untitled"
Sep 19, 2026
cicd with gitlab
Sep 19, 2026
cicd with jenkins
Sep 19, 2026
transformers for text
Sep 18, 2026
transformers basics
Sep 18, 2026
multidimensional deep learning
Sep 17, 2026
introduction to deep learning
Sep 16, 2026
3 tier end-to-end DevSecOps implementation
Sep 15, 2026
graph neural networks
Sep 15, 2026
self-supervised learning and foundation models
Sep 14, 2026
multimodal deep learning
Sep 12, 2026
agentic ai
Sep 08, 2026
model context protocol
Sep 08, 2026
fall detection using Roboflow
Sep 07, 2026
pytorch basics
Sep 07, 2026
similarity learning
Sep 07, 2026
transfer learning and domain adaptation
Sep 06, 2026
🏠 home
Sep 05, 2026
License plate recognition using YOLO + OCR
Sep 05, 2026
YOLO - you only look once
Sep 05, 2026
Neural Scene Representations and World Models
Sep 04, 2026
icp
Sep 03, 2026
Deep Generative Models
Sep 03, 2026
principles of diffusion models
Sep 03, 2026
generative models
Sep 02, 2026
building a small language model
Aug 29, 2026
clustering
Aug 15, 2026
xai-3
Aug 15, 2026
xai-2
Aug 14, 2026
orbis
Jun 17, 2026
autoencoders
Jun 17, 2026
AlexNet
Jun 16, 2026
ADAM
Jun 10, 2026
hyperparam tuning using wandb
Jun 10, 2026
preventing overfitting in nn
Jun 10, 2026
transfer learning
Jun 10, 2026
Building a simple deep nn with 2 hidden layers
Jun 09, 2026
image classification with a simple nn
Jun 06, 2026
UNet
Jun 03, 2026
Point transformers
Jun 01, 2026
Deep Q-Learning
May 31, 2026
Detection transformer
May 30, 2026
filters and convolutions
May 29, 2026
Open AI CLIP
May 28, 2026
swin transformer
May 26, 2026

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diffusion models

Sep 25, 20261 min read

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