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followers: 71.0 following: 144.0 repos: 219.0 gists: 0.0

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 🙂 👋

স্বাগতম | Welcome| नमस्ते | Hola | Guten Tag

My favourite quote

"চিত্ত যেথা ভয়শূন্য, উচ্চ যেথা শির" -- রবীন্দ্রনাথ ঠাকুর

"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
  • 💬 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

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

covid-ctset icon covid-ctset

Large Covid-19 CT scans dataset from paper: https://doi.org/10.1101/2020.06.08.20121541

cpp_crash_course icon cpp_crash_course

C++ files from the "C++ Crash Course" YouTube series by CoffeeBeforeArch

darknet-docker icon darknet-docker

Dockerfile for Darknet Yolo v4, v3 and v2 (https://github.com/AlexeyAB/darknet)

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deepreg icon deepreg

Medical image registration using deep learning

dense-trajectory-gpu icon dense-trajectory-gpu

This repository contains the code for computing the dense trajectory for any video given as input. In this code the farneback optical flow used in the original paper is replaced by GPU version of it so that the overall computation time is greatly reduced.

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