AjinkyaZ
Machine Learning Engineer at Pryon Inc. I'm extremely interested in AI, Language and Learning. MS CS - University of Massachusetts, Amherst
Pryon Inc.Cambridge, Massachusetts, USA
Pinned Repositories
aima-python
Automatically exported from code.google.com/p/aima-python
BackProp
A tutorial on Backpropagation in Neural Networks (in progress)
DSA-Practice
Repo for Data Structures and Algorithms practice
Hidden-Markov-Models
A basic HMM implementation
QA682
A Question Answering model for the SQuAD dataset, using BiLSTMs with coattention and pointer networks.
Reddit-Saved-Exporter
Exports your Reddit saved links to Markdown and JSON
Spam-Classifier
A simple spam classifier using Multinomial Naive Bayes
StanceDetection
Stance Detection for Identifying Fake News (Task 1 for the FakeNewsChallenge)
SummIt
Summ-It is an application that fetches summarized news articles from sources such as CNN, Reuters etc. It uses Python for fetching, parsing and implementing summarization techniques, and MeteorJS as the web-application server.
Ten-Days-of-Statistics
My solutions to the Ten Days of Statistics Hackerrank series
AjinkyaZ's Repositories
AjinkyaZ/Reddit-Saved-Exporter
Exports your Reddit saved links to Markdown and JSON
AjinkyaZ/Hidden-Markov-Models
A basic HMM implementation
AjinkyaZ/Spam-Classifier
A simple spam classifier using Multinomial Naive Bayes
AjinkyaZ/Ten-Days-of-Statistics
My solutions to the Ten Days of Statistics Hackerrank series
AjinkyaZ/aima-python
Automatically exported from code.google.com/p/aima-python
AjinkyaZ/BackProp
A tutorial on Backpropagation in Neural Networks (in progress)
AjinkyaZ/DSA-Practice
Repo for Data Structures and Algorithms practice
AjinkyaZ/spotify-data
Playing around with spotify's API
AjinkyaZ/SummIt
Summ-It is an application that fetches summarized news articles from sources such as CNN, Reuters etc. It uses Python for fetching, parsing and implementing summarization techniques, and MeteorJS as the web-application server.
AjinkyaZ/tdd-django
Repo for TDD (Test Driven Development) with Django. Follows the tutorial here http://chimera.labs.oreilly.com/books/1234000000754
AjinkyaZ/QA682
A Question Answering model for the SQuAD dataset, using BiLSTMs with coattention and pointer networks.
AjinkyaZ/StanceDetection
Stance Detection for Identifying Fake News (Task 1 for the FakeNewsChallenge)
AjinkyaZ/pytorch-openai-transformer-lm
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
AjinkyaZ/pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)