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AI/ML Course Library
How to run Robotics simulations in Maniskill Environment?
Getting started with Robotics simulation environments!
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Teach your neural network to "respect" Physics
Feb 23, 2025
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Vizuara AI Labs
and
Sreedath Panat
24
1
Gradient Descent: An Introduction to Optimization in ML
Jan 8, 2025
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Vizuara AI Labs
and
Sreedath Panat
19
1
ResNet: The architecture that changed ML forever
Feb 25, 2025
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Vizuara AI Labs
and
Sreedath Panat
12
1
Build strong foundations to transition to ML
Dec 31, 2024
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Vizuara AI Labs
and
Sreedath Panat
10
1
Recent posts
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Segment Anything Model (SAM)
The promptable foundation model revolutionizing zero-shot image segmentation through massive-scale training.
Jan 20
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Mayank Pratap Singh
and
Sreedath Panat
5
1
Detection Transformer (DETR): An introduction
How to use transformer for object detection from images?
Jan 15
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Mayank Pratap Singh
and
Sreedath Panat
6
Why Deployment and Monitoring Are Central to Production-Grade ML Systems
This article examines the necessity of deployment, the importance of monitoring, the key components that require monitoring, and how engineers select…
Jan 14
•
Prathamesh Dinesh Joshi
and
Vizuara AI Labs
5
4
An beginners introduction to Swin transformer
Why did Microsoft introduce the idea of "shifted window" attention?
Jan 13
•
Sreedath Panat
and
Mayank Pratap Singh
5
How does ACT (Action Chunking with Transformers) actually work?
Understanding the ACT architecture from scratch
Jan 10
•
Dr Rajat Dandekar
6
What exactly is Denoising Score Matching?
What is Denoising Score Matching? Why is it central to Diffusion Models?
Jan 7
•
Dr Rajat Dandekar
1
1
How I Shipped an End-to-End ML Anomaly Detection System on the NYC Taxi Dataset (With CI/CD)
In this article , My aim is to explain how you can implement entire production ready project in Machine learning.
Jan 5
•
Prathamesh Dinesh Joshi
and
Vizuara AI Labs
8
1
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