adityasiwan Goto Github PK
Name: Aditya Harsh
Type: User
Company: ConverseNow.ai
Bio: Product Engineer @conversenow | Senior Mentor @udacity | Community Member @duckduckgo
Location: Bengaluru | India
Blog: http://adityaharsh.com
Name: Aditya Harsh
Type: User
Company: ConverseNow.ai
Bio: Product Engineer @conversenow | Senior Mentor @udacity | Community Member @duckduckgo
Location: Bengaluru | India
Blog: http://adityaharsh.com
My Personal Website
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Machine Learning Benchmark Scripts
A complete computer science study plan to become a software engineer.
This app will let you order coffee from selected cafes.
Solution for the book Cracking the Coding Interview
CryptoNote protocol implementation. This is the reference repository for starting a new CryptoNote currency. See /src/cryptonote_config.h
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets.
Face Recognition implementation through eigenfaces.
A list of everything that could go in the <head> of your document
A Weather app
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools, Identified the best price that a client can sell their house utilizing machine learning.
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
Used Q-Learning to train a smart cab to drive around idealistic city roads on its own.
Predicting directional movement of stock prices
Decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster.
Movie Trailer Website using Python
LiDAR and camera fusion to track vehicles over time.
Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency.
A tax professional website
Extraction of useful information such as text from documents captured from smart-phones
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.