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Name: Ashok Matta
Type: User
Bio: Artificial Intelligence | Big Data | IoT | Data Science | Robotic Process Automation | GEOINT| Digital Transformation Expert
Name: Ashok Matta
Type: User
Bio: Artificial Intelligence | Big Data | IoT | Data Science | Robotic Process Automation | GEOINT| Digital Transformation Expert
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
Package to implement AdaCost
Fast and flexible AutoML with learning guarantees.
Advanced Natural Language Processing with TensorFlow 2, published by Packt
Open-source implementation of Google Vizier for hyper parameters tuning
Reinforcement learning for medical decisions
Top 100 among 1400 participants in insurance claims prediction leaderboard submission to the AICrowd Insurance Pricing Game
Maritime Situational Awareness: An Exploration
A Tree Search Library for Data Cleaning
This project is part of a research paper that was presented as a poster at ICPRAM 2020. It highlights the use of discriminative neural networks to tackle the problem of class imbalance.
Content for Applied ML Workshop @ DataHack Summit 2019
AtsPy: Automated Time Series Models in Python (by @firmai)
Code for the KDD 2019 workshop paper
Automated Machine Learning with scikit-learn
Automated End-to-End Pipeline
AutoBazaar: An AutoML System from the Machine Learning Bazaar
Making machine learning 🤖 easier @
:crystal_ball: Fast and full-featured autocomplete library
A list of software and papers related to automatic and fast Exploratory Data Analysis
Linear Regression Model with Automated Feature Engineering and Selection Capabilities
[ICCV 2019] AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
An autoML framework & toolkit for machine learning on graphs.
AutoGluon: AutoML for Text, Image, and Tabular Data
Python package for Imputation Methods
An autoencoder based imputation of the sparse single cell RNA-seq data.
Accessible AutoML for deep 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.