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Name: Snehashis Chatterjee

Type: User

Company: University of Calcutta

Bio: I have completed my undergrad at the University of Calcutta in ECE. I have a strong interest in Deep learning, Computer vision.

Twitter: SnehashisChatt6

Location: Barasat

Hi, I'm Snehashis 🙂 👋

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My favourite quote

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"Where the mind is without fear and the head is held high" -- Rabindranath Tagore

Currently working on Computer vision in CCTV based video analytics

  • 🔭 I’m currently working as a Research Engineer ( Grade 1 ) at Videonetics Technology Private Limited
  • 🌱 I’m currently learning Reinforcement learning, Robotics, Flask, Docker
  • đŸ’Ŧ Ask me about Data science, Computer vision
  • 👉 Check out my recent repo BlurNet

Resume | 👔 linkedin | 🏡 kaggle | 😊 HackerRank

My stats

Snehashis's github stats

Snehashis Chatterjee's Projects

determine-heart-rate-from-a-digital-stethoscope-using-machine-learning icon determine-heart-rate-from-a-digital-stethoscope-using-machine-learning

I worked Sensordrop Networks from 20th July,2020 to 20th Sept,2020 as an intern. During this time I worked with Heart beat signals as .wav format. My work was to build a statistical model to predict heart rate from this signals. Also, I tried to develop an accurate peak detection algorithm.

detic icon detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

disentanglement_tutorial icon disentanglement_tutorial

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

domain_adversarial_net icon domain_adversarial_net

A domain adversarial training network for image segmentation, generation, or reconstruction tasks. Implemented using Tensorflow keras

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dynconv icon dynconv

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

eggroll icon eggroll

A Simple High Performance Computing Framework for [Federated] Machine Learning

eyeq icon eyeq

EyeQ : Dataset of Retinal Image Quality Assessment

faceswap icon faceswap

Real-time FaceSwap application built with OpenCV and dlib

ffmpeg-libav-tutorial icon ffmpeg-libav-tutorial

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more

ffmpeg-tutorial icon ffmpeg-tutorial

A set of tutorials that demonstrates how to write a video player based on FFmpeg

gpgpu-sim_distribution icon gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.

gpu-programming icon gpu-programming

Contains the contents of GPU Architecture and Programming course done on NPTEL

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