Coding
Grad Student at Boston University (MS in AI) || ex-Computer Vision at Wobot.ai
- Kolkata, India
- @AichAnimikh
Highlights
- Pro
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Zero Code Image Classification Training tool that is easy to use and training a Deep Learning Model is just a few clicks away
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AlexNet-Tensorflow Public
GPU Optimized AlexNet Implementation to train on ImageNet 2012 using Tensorflow 2.x
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VGGNet-Tensorflow Public
VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x
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Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)
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This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
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End-to-end CNN-based Autoencoder that can segment any objects even if it is out of the classes present in the training set.




