Deep Learning and Machine Learning researcher and enthusiastic, looking for opportunities in these domain.
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Assessing your cultural and operational fit
HetConv3DNet
October 8, 2021 – October 8, 2021
Official PyTorch implementation of Lightweight Heterogeneous Kernel Convolution forHyperspectral Image Classification with Noisy Labels
View ProjectHybridSN-pytorch
May 18, 2021 – May 18, 2021
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
View ProjectTransformer_f-CLSWGAN
May 1, 2021 – May 1, 2021
Advanced Feature Generating Networks for Zero-Shot Learning with Axial Attention transformer
View ProjectZero-Shot-Super-Resolution
February 2, 2021 – February 2, 2021
A PyTorch implementation of Zero Shot Super Resolution using Residual Feature Fusion classifier and ECA module
View ProjectHyperspectral-Vision-Transformer
February 2, 2021 – May 27, 2021
A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification
View ProjectMulti-Kernel-Rotated-Conv-Deconv-Feature-Fusion-SSRN3d
February 2, 2021 – February 2, 2021
Advanced version of 3D Spectral Spatial Residual Network for hyperspectral image classification
View ProjectFeatureFusionUNet
February 2, 2021 – March 19, 2021
Various UNet models for satellite images change detection using OSCD dataset
View ProjectDeepDeconvResUNet
February 1, 2021 – February 1, 2021
Landslide segmentation using Deep Deconvolutional Residual UNet
View ProjectAdvanced_GAIN
January 15, 2021 – January 19, 2021
Generative Adversarial Network for missing data imputation
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong individual drive and interest in cutting-edge research topics within data science and machine learning. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The projects are highly aligned with a research-oriented Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.