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Name: Rishikesh Jaadhav
Type: User
Company: Mendix
Bio: Software Engineer
Location: Pune
Name: Rishikesh Jaadhav
Type: User
Company: Mendix
Bio: Software Engineer
Location: Pune
This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
Final Year Project
Reinforcement learning resources curated
Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras
Classifies cat and non-cat images using Logistic Regression.
Built a deep neural network that classifies cat vs. non-cat images
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
CoLight: Learning Network-level Cooperation for Traffic Signal Control
An expert course advisor system written using Prolog
Simplified Advanced Encryption Standard (s-AES)
Detects DDOS attacks using ML
A flexible tool for analyzing network traffic and automation of the process of protection against DDoS attacks.
Implemented all the functions required to build a deep neural network.
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.
Repo for the Deep Reinforcement Learning Nanodegree program
Hands-on Deep Reinforcement Learning, published by Packt
DDoS attack detection using BLSTM based RNN
This repository contains implementations and illustrative code to accompany DeepMind publications
Designed the Multi-Armed Bandit problem
A basic expert system, written in Prolog, that suggests what programming language one should learn first.
Genetic algorithm tutorial for Python
Genetic Algorithm Implementation in Python using NumPy
source code from the book Genetic Algorithms with Python by Clinton Sheppard
A toolkit for developing and comparing reinforcement learning algorithms.
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
Open source machine learning DDOS detection tool
Ipython notebook that illustrates effectiveness of machine learning algorithms in anomaly detection of netflow data (inbound/outbound DDoS, etc...)
Python code for common Machine Learning Algorithms
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.