Rohit Yadav's Projects
PyTorch implementation of segmentation on Gottingen Aerial dataset
Implementation of catmull-clark subdivision
Computer Graphics: Loop Subdivision
Computer Graphics: Splines Subdivision
Classification challenge ML6
Developing a PyTorch-based solution for predicting future values in financial time series data, leveraging RNNs and GRUs as part of the M3 competition for time series forecasting.
Microsoft's Membership Inference Competition (MICO) for CIFAR10 using shadow models.
PyTorch implementation of Momentum contrast in Frequency & Spatial Domain (MocoFSD) for fine-grained image classification.
Implementation of DeRose et al.(1998) "Subdivision Surfaces in Character Animation "
Fine-tune and evaluate deep learning models built with PyTorch for semantic segmentation of trees from satellite imagery of forestry areas.