Nader Asadi's Projects
Codebase for " Reducing Representation Drift in Online Continual Learning"
Camera calibration and visual depth perception
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)
A PyTorch framework for Continual Learning research.
Interior Design AI Copilot based on ControlNet and StableDiffusion.
My personal configuration files.
Pytorch implementation of Extreme Learning Machine
Environmental Perception Stack in Self-driving Cars
Simple implementation of FedAvg, a Federated Learning algorithm.
Self-driving Cars: Lateral and Longitudinal Control
N-Queen problem with GA and Min-Conflict algorithm
Optimal Path Planning with Deep Reinforcement Learning
Implementation of "A Novel Image Perturbation Approach: Perturbing the Latent Representation"
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Pytorch implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (Mildenhall et al., ECCV 2020 Oral, Best Paper Honorable Mention) and its extension to follow-up research projects
Data Engineering Nanodegree projects and exercises, including Data Modeling, Data Warehousing, Data Lake development, and Pipeline Management.
A PyTorch framework for cross-modal perception research on top of pytorch lightning and huggingface transformers.