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Name: Avijit Rastogi
Type: User
Bio: Software Engineering, Machine Learning, Solving complex problems
Location: Aachen, Germany
Name: Avijit Rastogi
Type: User
Bio: Software Engineering, Machine Learning, Solving complex problems
Location: Aachen, Germany
A curated list of awesome Dash (plotly) resources
CALFEM - a finite element toolbox for MATLAB
Essential Cheat Sheets for deep learning and machine learning researchers
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
Tutorials for DataCamp (www.datacamp.com)
A few notebooks about deep learning in pytorch
A 5-course structure to master Deep Learning and break into the world of AI.
A MNIST-like fashion product database. Benchmark :point_right:
The fast.ai deep learning library, lessons, and tutorials
U.S. Census Return Rate Challenge
Practice application problems in field of Machine Learning, Deep Learning, Neural networks, Dashboards, Business Intelligence etc.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Content for Udacity's Machine Learning curriculum
Implemented a complete machine learning pipeline to solve a supervised regression problem
Microservices with Node JS and React
Boston Housing - Udacity Machine Learning Nanodegree Project
A cheatsheet of modern C++ language and library features.
Code for my Modern C++ webinar
Analysis of Mutual Fund performance in India
📘 Desktop, Jupyter Extension, libraries, and more
⚕ Tutorials for public health crossfilter dashboards
slides for pyGAM at PyData Berlin 2018
The official Python client library for the Kite Connect trading APIs
Course materials for the Python for Data Science and Machine Learning Bootcamp MOOC on Udemy
Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.
scikit-learn: machine learning in Python
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Deep Learning Study Group
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Computation using data flow graphs for scalable machine learning
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.