pradeepsinngh Goto Github PK
Name: Pradeep Singh
Type: User
Company: San Diego State University
Bio: Computational Science | Deep Learning Intern @ Dassault Systemes
Twitter: pradeep_sinngh
Location: San Diego, CA
Blog: https://pdeep.xyz
Name: Pradeep Singh
Type: User
Company: San Diego State University
Bio: Computational Science | Deep Learning Intern @ Dassault Systemes
Twitter: pradeep_sinngh
Location: San Diego, CA
Blog: https://pdeep.xyz
3D Modelling of 2D Objects (images) by roatating a solid image through 360 degree.
My solution to daily coding problems from leetcode and Hackerrank.
All algorithms and data structures implemented in python.
Some Basic Arduino Codes for Begginers!
Implementation of denoise, sparse, contractive, variational autoencoder (VAE) and Beta-VAE in Tensorflow 2.0.
Bayesian Optimization for Machine Learning
C programming Exercises, Practice, Solution
Churn Prediction using Machine Learning (PySpark and Scikit-learn)
Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
List of data science project I have worked on along with data, code and visualization.
Tutorial on How To Use Python, Pandas, Seaborn, Numpy, Matplotlib, Scipy for Data Science.
Python package for pre-processing and cleaning (text and image) data.
Source of Explore Flask book
A Beginners guide to Python 3.
Few-shot learning with neural networks in TensorFlow 2.0.
Implementation of DFT and FFT in OpenCL
Implementation of SOTA Super Resolution Models using CNNs in TensorFlow 2.0.
Simple Python(webapp2) based blogging engine
MS Thesis: Models for propagating facilitation in the Insect Visual System.
Handwritten digit (MNIST) recognition using different neural network models.
Classification of messages as spam or not spam using Naive Bayes algorithm.
Experiments with different NMT (neural machine translation) models using TensorFlow, Keras.
My notes on Bayesian Inference and Probabilistic Programming.
My notes and implementation of different numerical optimization algorithms.
Numerical Solutions for PDE's | Heat Equation, Poisson Equation, Wave Equation
Parallelizing Deep Learning using MPI and GPU.
This repository includes all the code I'll write for practicing and learning parallel computing.
Personal Website -
Quick notes on Machine Learning. Read on the fly.
An end-to-end sentiment classification system from scratch using Naive bayes classifier and RNN.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.