Naveen Kumar Bisai's Projects
A Small C Compiler
12 Weeks, 24 Lessons, AI for All!
180+ Algorithm & Data Structure Problems using C++
A list of awesome beginners-friendly projects.
The guide to tackle with the Text Summarization
Blynk library for embedded hardware. Works with Arduino, ESP8266, Raspberry Pi, Intel Edison/Galileo, LinkIt ONE, Particle Core/Photon, Energia, ARM mbed, etc.
🤓 Build your own (insert technology here)
Windows Calculator: A simple yet powerful calculator that ships with Windows
A complete computer science study plan to become a software engineer.
This repository contains my full documentation of Coursera's Deep Learning Specialization taught by the professor Andrew Ng offered by deeplearning.ai.
Coursera Machine Learning By Prof. Andrew Ng
📊 Source code of the main website
CS249 group project. Implementing PSO scheduling algorithms on CloudSim enviornment
Dataset for training machine learning model for automatically generating psychiatric case notes from doctor-patient conversations.
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
A simple utility to find your GATE'16 CSE marks based on official (earlier: gateoverflow) keys.
Pytorch implementation of Get To The Point: Summarization with Pointer-Generator Networks (2017) by Abigail See et al.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Heart Disease Analysis repository
Solutions to problems on Interview Bit
Collection of Abhishek Agrawal's gists solutions for problems on https://www.interviewbit.com
A text editor in less than 1000 LOC with syntax highlight and search.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
Lecture Notes of Andrew Ng's Machine Learning Course
machine learning and deep learning tutorials, articles and other resources
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
This is a project which uses esp8266 and arduino UNO along with ultrasonic sensor to detect the distance and send it to blynk mobile app and thingspeak channel.
Neural Attention Model for Abstractive Summarization
Config files for my GitHub profile.