subhash-pal Goto Github PK
Name: Subhash Ch. Pal
Type: User
Company: Shubh
Location: Bhilai
Name: Subhash Ch. Pal
Type: User
Company: Shubh
Location: Bhilai
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
This code is part of my post on Medium.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Course Web page
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.
Tutorial exercises on Hidden Markov Models for the Machine Learning Seminar
Python Implementation for Machine Learning Learners.
Minimal and clean examples of machine learning algorithms implementations
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
Monte-Carlo tutorial
A model free Monte Carlo approach to price and hedge American options equiped with Heston model, OHMC, and LSM
Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).
使用机器学习算法的电影推荐系统以及票房预测系统
Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems
Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset
deep learning project
A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Simple 2-layer Neural Network, written from scratch using only numpy
Simple neural network implemented from scratch using numpy package
A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.
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.