pradeepsinngh
Computational Science | Deep Learning Intern @ Dassault Systemes
San Diego State UniversitySan Diego, CA
Pinned Repositories
A-Problem-A-Day
My solution to daily coding problems from leetcode and Hackerrank.
Autoencoders
Implementation of denoise, sparse, contractive, variational autoencoder (VAE) and Beta-VAE in Tensorflow 2.0.
Data-Science-101
Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
Data-Science-Tutorials
Tutorial on How To Use Python, Pandas, Seaborn, Numpy, Matplotlib, Scipy for Data Science.
fft-dft-opencl
Implementation of DFT and FFT in OpenCL
Image-Super-Resolution
Implementation of SOTA Super Resolution Models using CNNs in TensorFlow 2.0.
Neural-Machine-Translation
Experiments with different NMT (neural machine translation) models using TensorFlow, Keras.
Parallel-Deep-Learning-in-Python
Parallelizing Deep Learning using MPI and GPU.
Quick-Machine-Learning-Notes
Quick notes on Machine Learning. Read on the fly.
Visual-Recognition-using-CNN
Image classification using ConvNets models for Fashion-MNIST dataset.
pradeepsinngh's Repositories
pradeepsinngh/c-programming-exercises
C programming Exercises, Practice, Solution
pradeepsinngh/wave-equation
Simualting 1D Wave Equation using d'Alembert's formula.
pradeepsinngh/Vision-based-Toll-Tax-Collection-System
Real-time implementation of Automatic Toll Tax collection system
pradeepsinngh/2D-to-3D-Modelling
3D Modelling of 2D Objects (images) by roatating a solid image through 360 degree.
pradeepsinngh/Arduino-Boot-Camp-Codes
Some Basic Arduino Codes for Begginers!
pradeepsinngh/explore-flask
Source of Explore Flask book
pradeepsinngh/Light-Weight-Blog
Simple Python(webapp2) based blogging engine