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Name: Akash (Sathya) Kothapalli
Type: User
Bio: Business Analyst | Machine Learning | Deep Learning & MLOps Enthusiast
Location: Bangalore
Name: Akash (Sathya) Kothapalli
Type: User
Bio: Business Analyst | Machine Learning | Deep Learning & MLOps Enthusiast
Location: Bangalore
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
This repository contain starter codes for participants in Machine Learning Challenge 4.
Curated list of tools and resources related to the use of machine learning for cyber security
Contains the snippet codes to perform a specific task(Algorithm, EDA, Plotting, etc)
Can you cut the time a Mercedes-Benz spends on the test bench?
"Data Mining in Action Course", Moscow Institute of Physics and Technologies
MITIE: library and tools for information extraction
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
Time Series, Regression and Classification Problems
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
Resources for "Natural Language Processing" Coursera course.
Projects, snippets and codes related to Natural Language Process
Pig Latin Commands
Binance Exchange API python implementation for automated trading
A Python wrapper for the libffm library.
PyTorch Tutorial for Deep Learning Researchers
:exclamation: This is a read-only mirror of the CRAN R package repository. randomForest — Breiman and Cutler's Random Forests for Classification and Regression. Homepage: https://www.stat.berkeley.edu/~breiman/RandomForests/
Recommendation System in R
Repository of codes used to solve problems in Leetcode, AlgoExpert, Check.io etc.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Urban Sound Recognition
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
ZS Data Science Challenge Summer 2018
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.