| Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow A Géron " O'Reilly Media, Inc.", 2022 | 8929 | 2022 |
| PyTorch S Imambi, KB Prakash, GR Kanagachidambaresan Programming with TensorFlow: Solution for Edge Computing Applications, 87-104, 2021 | 164 | 2021 |
| Technology readiness levels for machine learning systems A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ... Nature Communications 13 (1), 6039, 2022 | 84 | 2022 |
| Practical deep learning for cloud, mobile, and edge: real-world AI & computer-vision projects using Python, Keras & Tensorflow A Koul, S Ganju, M Kasam O'Reilly Media, 2019 | 55 | 2019 |
| A survey of southern hemisphere meteor showers P Jenniskens, J Baggaley, I Crumpton, P Aldous, P Pokorny, D Janches, ... Elsevier Planetary and Space Science 2018 154 (Volume 154), 21-29, 2018 | 37 | 2018 |
| Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks J Dawani Packt Publishing Ltd, 2020 | 33 | 2020 |
| Learn-to-race: A multimodal control environment for autonomous racing J Herman, J Francis, S Ganju, B Chen, A Koul, A Gupta, A Skabelkin, ... proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 31 | 2021 |
| Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part II A Vedaldi, H Bischof, T Brox, JM Frahm Springer Nature, 2020 | 30 | 2020 |
| Flood segmentation on sentinel-1 SAR imagery with semi-supervised learning S Paul, S Ganju arXiv preprint arXiv:2107.08369, 2021 | 23 | 2021 |
| What's in a Question: Using Visual Questions as a Form of Supervision S Ganju, O Russakovsky, A Gupta IEEE Computer Vision and Pattern Recognition 1, CVPR 2017, 2017 | 19 | 2017 |
| Recurrent neural network GR Kanagachidambaresan, A Ruwali, D Banerjee, KB Prakash Programming with TensorFlow: Solution for Edge Computing Applications, 53-61, 2021 | 17 | 2021 |
| Safe autonomous racing via approximate reachability on ego-vision B Chen, J Francis, J Oh, E Nyberg, SL Herbert arXiv preprint arXiv:2110.07699, 2021 | 11 | 2021 |
| Learn-to-race challenge 2022: Benchmarking safe learning and cross-domain generalisation in autonomous racing J Francis, B Chen, S Ganju, S Kathpal, J Poonganam, A Shivani, V Vyas, ... arXiv preprint arXiv:2205.02953, 2022 | 9 | 2022 |
| Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA A Koul, S Ganju, M Kasam, J Parr arXiv preprint arXiv:2012.10610, 2020 | 9 | 2020 |
| Artificial intelligence techniques for automating the CAMS processing pipeline to direct the search for long-period comets M De Cicco, S Zoghbi, AP Stapper, AJ Ordoñez, J Collison, PS Gural, ... International Meteor Conference 2018, 65-70, 2018 | 7 | 2018 |
| Searching for Long-Period Comets with Deep Learning Tools S Zoghbi, M De Cicco, AJ Ordonez, AP Stapper, J Collison, PS Gural, ... IEEE Neural Information Processing Systems (NeurIPS) Deep Learning for …, 2017 | 7 | 2017 |
| Global geomagnetic perturbation forecasting using Deep Learning V Upendran, P Tigas, B Ferdousi, T Bloch, MCM Cheung, S Ganju, ... Space Weather 20 (6), e2022SW003045, 2022 | 6 | 2022 |
| Single image super-resolution with uncertainty estimation for lunar satellite images JI Delgado-Centeno, P Harder, B Moseley, V Bickel, S Ganju, ... NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 5 | 2021 |
| Curator: A No-Code Self-Supervised Learning and Active Labeling Tool to Create Labeled Image Datasets from Petabyte-Scale Imagery R Venguswamy, M Levy, A Koul, S Praveen, T Narayanan, A Krishnan, ... EGU General Assembly Conference Abstracts, EGU21-6853, 2021 | 4 | 2021 |
| Practical Deep Learning for Cloud A Koul, S Ganju, M Kasam Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python …, 2019 | 4 | 2019 |
Anirudh KoulPinterest, SpaceMLVerified email at koul.ai
