netrapathak Goto Github PK

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

ch19-d3

Exercises for Chapter 19: D3 Visualizations

ch3-git-basics

Exercises for Chapter 3: Git and GitHub

coding

computer-networks-assignment

LAN Simulation Code

data-science--cheat-sheet

Cheat Sheets

dataria-capstone

Capstone Project

datasets

CSV datasets used in Plotly API examples

deep-learning

Contains small utility modules, useful while working with deep learning in Keras

deep-learning-1

facenet_nn1

NN1 network from FaceNet: A Unified Embedding for Face Recognition and Clustering, in Keras.

google-interview-university

A complete daily plan for studying to become a Google software engineer.

infx-574-machine-learning

Data Science Specialization Course: Machine Learning and Econometrics

iot--nfc-payment-and-security

Project implemented as part of "Internet of Things" course

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

leetcode-python

Leetcode problems solved in Python

my-portfolio-website

Netra Pathak's portfolio website

offline-signature-verification

Implemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.

recommendation-system-using-user-implicit-feedback

simple-editor

Text Editor - Java version and Line Editor - C version. Text Editor uses tree, stack and array data structures whereas Line Editor uses linked list and array. Text Editor can perform: cut, copy, paste, undo, redo, open, save/save as, find and replace, auto prediction of words and file recovery. Line Editor can be used to save lines in a file, open saved file and edit the open file (Implemented as part of Data Structures and Algorithms course project).

smart-city--traffic-density-based-crossroads

Project implemented as part of "Embedded System Design" course

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

virtual-memory-manager-simulator

Project implemented as part of "Operating Systems" course.