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
Snehashis Chatterjee's Projects
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.
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
Course materials for the Coursera MOOC: Digital Signal Processing from Ecole Polytechnique Federale de Lausanne
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
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.
Tutorials for DLVC NPTEL MOOC
A domain adversarial training network for image segmentation, generation, or reconstruction tasks. Implemented using Tensorflow keras
Solution to Don't Overfit Kaggle Competition
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)
A Simple High Performance Computing Framework for [Federated] Machine Learning
This is my "Final year Btech project topic".In this project along with my teammates, we try to develop a Radar Cross Section based SFCW Radar in Matlab and detect the minor cracks in Hilly Regions. We also use Python based image processing algorithm for locating the cracks.
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
EyeQ : Dataset of Retinal Image Quality Assessment
Real-time FaceSwap application built with OpenCV and dlib
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more
A set of tutorials that demonstrates how to write a video player based on FFmpeg
Curated list of awesome GAN applications and demo
Serial and parallel implementations of Gaussian Elimination
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.
Contains the contents of GPU Architecture and Programming course done on NPTEL
Make huge neural nets fit in memory
I use keras sequential modeling with tensorflow back end