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Name: Rishika Rupam
Type: User
Location: Paris, France
Name: Rishika Rupam
Type: User
Location: Paris, France
An interface to authenticate AWS api requests from within google scripts
Backtranslations of IMDB movie reviews for Data Augmentation Purposes
Implement a plain vanilla BERT for multiclass classification. Can be used for reviews/comments/intent classification
An awesome README template to jumpstart your projects!
We write an algorithm that detects and removes unintended bias in that occurs in toxic comment classification. For instance, when we train for classification of toxic comments, the network may learn to associate toxicity with certain non-toxic features. For instance, because the word 'gay' is used frequently in a toxic comment and less in a positive or neutral comment, the network may mistakenly learn to associate the word 'gay' with toxicity so that when it encounters a neutral statement like 'I am a gay man', it may mistakenly identify the comment as toxic. This algorithm seeks to address this problem. The challenge is a Kaggle competition - https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification.
Building, training and deploying using Amazon's AWS SageMaker
We create a neural network to classify the breed of a given dog, using its image. We use two approaches - one is a CNN built from scratch. The second is a CNN using transfer learning. As an added bonus, we take human faces and categorize which breed it most closely resembles. ;)
We use Generative Adversarial Networks (GANs) to generate faces, given the data CelebA, a dataset consisting of around 200,000 images of celebrity faces.
We use LSTMs to generate TV scripts, given a starting word. As training data, we used Seinfeld's scripts.
GraphQL requests beautifully presented in a Google Sheet
Repository
Reference material for basic and advanced Pandas operations in Python
Massively multitask fine tuning of roBERTa for policy priority identification in unstructured text
Basic python syntax
Rasa bot using fast.ai text for NLU intent classifier
We explore regularization techniques like Ridge, Lasso and Elastic net regularization.
We predict the sentiment of movie reviews, from scratch.
We identify commonalities and correlations in Spotify's top 100 tracks
Using Pytorch to solve the famous titanic dataset problem, or in other words, killing a fly with a tank.
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.