Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
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Updated
Sep 30, 2021 - Jupyter Notebook
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Implementation of Artificial Neural Networks using NumPy
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
Hand Gesture Recognition using CNNs and Perceptrons in realtime (OpenCV)
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061
CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.
Keras implementation of Mixed-scale Dense Net (MS-D Net) object segmentation
Upsampling method for an input cloud using mls method of PCL
Efficient matrix representations for working with tabular data
Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.
Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow
Making a Deep Learning Framework with C++
Training and Deployment Neural Networks model (using keras) to recognize handwritten digits
A Fast, Extensible Trainer and Extensions for Pytorch
Sentiment classification of IMDB movie reviews using Natural Language Processing models
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