Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Keras
Published:
This documents my journey of working with Keras.io and its open-source repository of code examples and tutorials. Read more
Weights & Biases Blogs
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This is a detailed report around using YOLO-NAS and WandB together to perform a real-world task. Read more
PyImageSearch
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A set of blogs I wrote for PyImageSearch, a reputed Computer-Vision and Deep-Learning educational technology company. Read more
Medium
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This documents my journey of writing for the first time, as part of the Towards Data Science Authors program and through the Google Cloud Community Medium page as well. Read more
portfolio
Portfolio item number 1
Published:
Short description of portfolio item number 1 Read more
Portfolio item number 2
Published:
Short description of portfolio item number 2 Read more
publications
Getting Started with Docker for Machine Learning
Published in PyImageSearch, 2023
First part in series, about using Docker for Machine Learning workflows Read more
Recommended citation: Mukherjee, S. “Getting Started with Docker for Machine Learning,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/k3xw6
Download Paper
Getting Used to Docker for Machine Learning
Published in PyImageSearch, 2023
Second part in series, about using common Docker utilities Read more
Recommended citation: Mukherjee, S. “Getting Used to Docker for Machine Learning,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/hf5bk
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Setting Up a GPU Development Environment Using Docker
Published in PyImageSearch, 2023
Third and final part in series, about setting up GPU environments with Docker Read more
Recommended citation: Mukherjee, S. “Setting Up a GPU Development Environment Using Docker,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/8bf3a
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Guiding the Student’s Learning Curve: Augmenting Knowledge Distillation with Insights from GradCAM*
Published in MoSICom, 2023
We show that you can speed up convergence upon using internal signals of the teacher network in conjunction with the normal distillation process. Read more
Recommended citation: S. S. Mukherjee, D. Vinod Chandan and S. Dongre, "Guiding the Student’s Learning Curve: Augmenting Knowledge Distillation with Insights from GradCAM," 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 587-591
Download Paper | Download Slides
Project Lingua Franca: Democratizing Information through Unified Optical Character Recognition and Neural Machine Translation*
Published in MoSICom, 2023
Using latest advances in low-resource language modelling to translate old books into modern languages. Read more
Recommended citation: S. S. Mukherjee, A. Chandra, K. Chemburkar and V. Kulkarni, "Project Lingua Franca: Democratizing Information through Unified Optical Character Recognition and Neural Machine Translation," 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 486-491
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Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques
Published in PyImageSearch, 2024
First part of series in Image Super-Resolution, about conventional methods to get started. Read more
Recommended citation: Mukherjee, S. “Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2024, https://pyimg.co/w4kr8
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Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers
Published in PyImageSearch, 2024
Final part of series in Image Super-resolution, about using Diffusers to achieve higher-res images. Read more
Recommended citation: Mukherjee, S. “Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2024, https://pyimg.co/eoubf
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ICPR 2024 Competition on Rider Intention Prediction*
Published in International Conference on Pattern Recognition (Lecture Notes for Computer Science), 2024
This paper is about solutions presented for the ICPR 2024 Competition on Rider Intention Prediction. Read more
Recommended citation: Gangisetty, S. et al. (2025). ICPR 2024 Competition on Rider Intention Prediction. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. Competitions. ICPR 2024. Lecture Notes in Computer Science, vol 15334. Springer, Cham.
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talks
Accelerating Model deployment using Transfer Learning and Vertex AI
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Presentation: Google Slides Read more
Cloud Run for the Young and Restless
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Presentation: Google Slides Read more
KerasCV for the Young and Restless
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Presentation: Google Slides Read more
A Tour of Distributed Training solutions for Deep Learning
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Presentation: Google Slides Read more
Using Gemini and Gemma to accelerate your Golang Application-building Experience
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Presentation: Google Slides Read more
Improving Digital Interactions for Women with Machine Learning
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Presentation: Google Slides Read more
Pushing the Performance Envelope: An Optimization Study for 3D Generative Modelling with PyTorch*
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Presentation: Google Slides Read more
Building a RAG-tag team of Vertex AI, MongoDB, and LangChain for Robust Applications
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Presentation: Google Slides Read more
Using 🤗 Diffusers for Generating Images from Text
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Presentation: Google Slides Read more
Taking a walk in the Model Garden
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Presentation: Google Slides Read more
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post. Read more
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post. Read more