bharigopan Goto Github PK
Type: User
Type: User
100 Days of ML Coding
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Explore ABAP syntax in a nutshell supported by executable demo examples.
Simulated annealing algorithm Implementation in a Jupyter notebook.
Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
An Awesome list for resources on algorithmic game theory
Curated list of awesome mental models / heuristics / intuition pumps / atomic habits / tools for thought
Use bandit algorithm to train an agent that can do investment like human being
Python library for Multi-Armed Bandits
Bandit algorithms simulations for online learning
Notes from books and other interesting things that I've read. Table of contents at the end 👇
Elementary Calculus very good - Japanese
PyBites Code Challenges
My personal website
A notebook with simple definitions and terms involved in Convex optimization topic
Some of my solutions to problems posed in my graduate-level convex optimization class
Manual and stats library Correlation coefficient
A Python-embedded modeling language for convex optimization problems.
Cheat Sheets
The Data Science with Python course provides a complete overview of Data Science analytics techniques using Python. A data scientist is one of the hottest fields today and Python is a crucial skill for many Data Science roles. Expand your Data Science knowledge with this Python certification course.
A collection of classical algorithms and data-structures implementation in C++ for coding interview and competitive programming
Criteria for decision-making in games against nature under uncertainty in form of Jupyter Notebook. Supports Wald's, Savage, Hurwicz, Hodges–Lehmann, Laplace, Maximum Expected Utility, Minimum Expected Regret criteria.
An implementation of Multi-Objective Decision Analysis algorithms
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Dhyan's Personal Respository
The Path to Nash Equilibrium
An implementation of Fortune's algorithm for Voronoi diagrams in Python.
Fourier series summation and symbolic representation for algebraic functions
Source files for my course on Game Theory.
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.