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Name: Vignesh Srinivasan
Type: User
Company: Intel Corporation
Location: USA
Name: Vignesh Srinivasan
Type: User
Company: Intel Corporation
Location: USA
Goal of this project is to build and train a Long Short Term Memory based Autoencoder model to detect anomalies (i.e. sudden price changes) in the S&P 500 index data.This is implemented using Keras API with Tensorflow 2.0 as backend
A curated list of awesome Machine Learning frameworks, libraries and software.
A starter template for Equinor data science / data engineering projects
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository includes NER engine to extract disease names from unstructured text using Keras and tensorflow backend
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Deep Learning Fast & Easy
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
This repository includes jupyter notebooks for EDA, feature engineering and modelling to predict housing prices in Ames, Iowa
A compilation of all the Leetcode solutions.
📚 Collection of various guides, books and papers.
Predict which loans will be foreclosed on.
Goal of this case study is to predict rider churn for a ride sharing company in San Francisco and identify the factors that influence churn rate
Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.
The "Python Machine Learning (3rd edition)" book code repository
Python Data Science Handbook: full text in Jupyter Notebooks
A set of tutorials for using R in various ways: for coding and statistics
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Python companion for Statistical Thinking in the 21st Century
Synthetic Patient Population Simulator
Text and supporting code for Think Stats, 2nd Edition
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.