blog Featured
Notes - Grounded SAM
What is Grounded SAM? The Grounded SAM paper introduces a novel approach to open-set segmentation by combining two powerful pre-trained models...
Blog
A collection of 17 posts tagged with "blog".
papers Featured
NOTES: Can LLMs truly reason?
Can LLMs actually reason, or are they just “probabilistic pattern matchers”? This paper attempts to answer that question.
papers Featured
NOTES: Retrieval-Augmented Generation for Large Language Models
Here is a short compilation of bullet points gathered while reading the paper "Retrieval-Augmented Generation for Large Language Models: A Survey".
papers Featured
Yolo-X Notes
The main motivation behind YOLOX was to update the YOLO series with the recent advancements at the time, particularly anchor-free detection.
blog
Multi-task Loss
This is a short review of the paper titled "Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics" by Kendall et al, 2018.
pytorch
Polynomial fitting using Pytorch
Here is a short tutorial on how to fit polynomials using pytorch.
blog
Migrate your blog from Ghost(Pro) to Digital ocean
I recently decided to migrate my ghost blog from ghost(pro) subscription to a digital ocean droplet. Primary reasons for the migration were...
blog Featured
SVD
SVD (Singular Value Decomposition) is one of my favorite topics in linear algebra. It's almost magical to factorize any matrix...
papers Featured
PolyLoss : A new framework for loss functions
Authors propose a new framework of loss functions, motivated by the Taylor series expansion of commonly used functions like cross entropy.
blog
Short NLP Overview!
Natural language processing (NLP) is a branch of science sitting at the intersection of computer science, artificial intelligence, and computational linguistics.
blog
My New Desktop!
If you're into gaming and deep learning, you need to own a GPU. For years I was working with an older GPU (GTX 960M), but I thought it was time to upgrade.
papers
EfficientNet (V1 & V2) - A smart heuristic
EfficientNet tries to come up with a smart heuristic to scale a CNN, relating resolution, width, and depth of a CNN.
blog Featured
Designing and shipping a ML Feature
What exactly are we trying to accomplish? Will the new model architecture really be a game-changer? How much impact will this new dataset have...?
papers
Semantic Segmentation - DeepLab V3+
Semantic segmentation involves partitioning/marking regions in the image belonging to different objects/classes. This short article summarises DeepLab V3+...
blog
Detection/Classification metrics
Once we've trained multiple detection/classification models, how to choose the best model? Once we've chosen the best model, how to choose the optimum operating point?