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Name: Naresh Rajendra Shah
Type: User
Company: Untangle AI
Location: Singapore
Blog: www.untangleai.co.in
Name: Naresh Rajendra Shah
Type: User
Company: Untangle AI
Location: Singapore
Blog: www.untangleai.co.in
Age and Gender Estimation Using Convolutional Neural Network
Keras Deep Learning neural network model for University of Wisconsin Cancer data that uses the Integrated Variants library to explain predictions made by a trained model
CocktailPartyAlgorithm
A Python tool that automatically cleans data sets and readies them for analysis.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Elevator simulation for CS 1538
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
Example of OpenNLP Usage for CSci-572
Official Implementation of 'Fast AutoAugment' in PyTorch.
Recipe and Grocery planning
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
NLP made easy
An approach using C++
Group D Projects Term 3
Code for the third and final assignment
This is a repo for Group E's work in the Time Series Analysis Course
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
A toolbox to iNNvestigate neural networks' predictions!
Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Interpretable AI papers
cs602 sources
Prize-winning solution for Kaggle contest "SeeClickPredictFix". The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. This code developed by me uses a segment based ensemble to generate predictions for the 3 targets (views, votes, and comments). My teammate and I used this model in combination with his to create a winning model for the contest, defeating >500 other teams and winning a purse of $1,0000.
Facenet implementation by Keras2
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
Convert trained PyTorch models to Keras, and the other way around
realtime news + twitter + location + filters = automated, reliable firsthand accounts of news as it happens
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.