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Diffusion Policy: Teaching Robots to Act by Denoising
How diffusion models solve the multimodal action problem in robot imitation learning
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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
1
Gradient Descent: An Introduction to Optimization in ML
Jan 8, 2025
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Vizuara AI Labs
and
Sreedath Panat
20
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
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How to run Robotics simulations in Maniskill Environment?
Getting started with Robotics simulation environments!
Feb 8
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Dr Rajat Dandekar
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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
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Detection Transformer (DETR): An introduction
How to use transformer for object detection from images?
Jan 15
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Mayank Pratap Singh
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Sreedath Panat
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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
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Prathamesh Dinesh Joshi
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Vizuara AI Labs
5
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An beginners introduction to Swin transformer
Why did Microsoft introduce the idea of "shifted window" attention?
Jan 13
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Sreedath Panat
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Mayank Pratap Singh
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How does ACT (Action Chunking with Transformers) actually work?
Understanding the ACT architecture from scratch
Jan 10
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Dr Rajat Dandekar
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What exactly is Denoising Score Matching?
What is Denoising Score Matching? Why is it central to Diffusion Models?
Jan 7
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Dr Rajat Dandekar
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