Theory 34

• 3D Deep Learning with Pytorch3D [Part 3 - State-of-the-art 3D Deep Learning Using PyTorch3D] Feb 16, 2024
• 3D Deep Learning with Pytorch3D [Part 2 - 3D Deep Learning using PyTorch3D] Feb 16, 2024
• 3D Deep Learning with Pytorch3D [Part 1 - Introduction] Feb 16, 2024
• Deformable Convolutional Networks Feb 3, 2024
• Spatial Transformer Networks [Part 2] Feb 2, 2024
• Spatial Transformer Networks [Part 1] Feb 2, 2024
• Bird Eye View Generation Using IPM (Inverse Perspective Mapping) Jan 30, 2024
• XAI 6 - Human-Friendly Explanations with TCAV Jan 1, 2024
• XAI 5 - Model Interpretability Using SHAP Dec 30, 2023
• XAI 4 - LIME for Model Interpretability Dec 30, 2023
• XAI 3 - Data-Centric Approaches Dec 29, 2023
• XAI 2 - Model Explainability Methods Dec 23, 2023
• XAI 1 - Foundational Concepts of Explainability Techniques Dec 23, 2023
• Applied Computational Thinking Problems Dec 23, 2023
• Using Computational Thinking in Simple Challenges Dec 23, 2023
• Identifying Challenges within Solutions Dec 23, 2023
• Designing Solutions and Solution Processes Dec 23, 2023
• Exploring Problem Analysis Dec 22, 2023
• Logical Reasoning Dec 20, 2023
• Algorithms and Algorithmic Thinking Dec 20, 2023
• Computational Thinking Dec 20, 2023
• Fundamentals of Computer Science Dec 19, 2023
• Homography Estimation Dec 15, 2023
• ML for 3D Geometry - Note Dec 11, 2022
• ML for 3D Geometry - Part 10 Dec 9, 2022
• ML for 3D Geometry - Part 9 Dec 8, 2022
• ML for 3D Geometry - Part 8 Dec 7, 2022
• ML for 3D Geometry - Part 7 Dec 6, 2022
• ML for 3D Geometry - Part 6 Dec 5, 2022
• ML for 3D Geometry - Part 5 Dec 4, 2022
• ML for 3D Geometry - Part 4 Dec 3, 2022
• ML for 3D Geometry - Part 3 Dec 2, 2022
• ML for 3D Geometry - Part 2 Dec 1, 2022
• ML for 3D Geometry - Part 1 Dec 1, 2022