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Hi πŸ‘‹, I'm Amit Pant

I am passionate about Machine Learning, Data Science, and Wonders of the Universe

amitpant7

  • πŸ”­ I’m currently working on Hardware aware Neural architectural search based on FPGA

  • 🌱 I’m currently learning Deep learning and NLP, React as well as TailwindCSS

  • πŸ‘― I’m looking to collaborate on Anything

  • 🀝 I’m looking for help with implementing neural networks on FPGA

Connect with me:

amit-pant amitpant7

Languages and Tools:

c cplusplus css3 docker flutter git html5 linux matlab opencv pandas python pytorch scikit_learn seaborn tensorflow

amitpant7

amitpant7

Amit Pant's Projects

channel-pruning-efficientnetv2 icon channel-pruning-efficientnetv2

I pruned 88% of channels of efficientNetV2 using LAMP pruning resulting 14x smaller model, 2.5x faster in inference, 14x fewer parameters & 2.5x fewer MACops. The loss in accuracy was somewhat 2% only.

decision-trees icon decision-trees

Classify if a banknote is geniune or forged based on 4 attributes using decion trees

naive-bayes icon naive-bayes

Performing EDA on titanicn and heart disease dataset and implementing Naive bayes classifier

once-for-all icon once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

pong icon pong

This is a simple pong game with somewhat different module. The intial score is given 100 and if score falls below zero, you lose the game. The goal is to hit the ball and increase the score!

pruning_efficienet_v2 icon pruning_efficienet_v2

Magnitude-based unstructured pruning to eliminate less valuable parameters from the network. I was able to prune 81% weights

pulmonary-classifier icon pulmonary-classifier

A comparative analysis of different CNN Architectures for Pulmonary Disease Classification: Inception v3 vs. ResNet-50

snns icon snns

Implementation of Spiking Neural Networks

vitis-ai icon vitis-ai

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

yolov5_prune icon yolov5_prune

Pruning yolov5 based on ultralytics yolov5 implementation

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