Rakesh Chada
rakeshchada
Applied Scientist at Amazon Alexa. Previously a Data Scientist at x.ai.
Languages
Top Repositories
Code for "Learning to Generate Reviews and Discovering Sentiment"
My practical approach to learning Neural Network concepts
LDA, TF-IDF and Machine Learning Models for Yelp Dataset challenge
Source code for the ACL GeBNLP workshop shared task on gender-fair coreference resolution
This project attempts to build a framework that is capable of answering questions of the 4th grade science exam level.
Repositories
32Code for "Learning to Generate Reviews and Discovering Sentiment"
My practical approach to learning Neural Network concepts
LDA, TF-IDF and Machine Learning Models for Yelp Dataset challenge
Source code for the ACL GeBNLP workshop shared task on gender-fair coreference resolution
This project attempts to build a framework that is capable of answering questions of the 4th grade science exam level.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Pytorch Converters for translation models pre-trained using Marian NMT
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Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
My blog
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Gendered Ambiguous Pronouns Shared Task
Tool for visualizing attention in BERT and OpenAI GPT-2
Computation using data flow graphs for scalable machine learning
Utilities for working with image data, text data, and sequence data.
my blog
A minimalist Jekyll theme for running a personal blog
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
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A curated list of awesome Machine Learning frameworks, libraries and software.
Predict if an online bid is made by a human or a bot.
Page Rank of all persons in each language in wikipedia
This contains the IPython notebooks describing Machine Learning algorithms I had used for the Kaggle contest "Microsoft Malware Classification Challenge".
HW 3 skeleton for doing BDD with RottenPotatoes
This IPython Notebook contains the detailed work flow of various phases involved in building machine learning models for the prediction of birth weight.
How to deal with text as data - Mozilla Festival 2013