anupsavvy

bamazon

barCharts

Stacked bar-charts for number of messages vs time.

Basic-Portfolio

Northwestern Coding Bootcamp Assignment - 1

basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

blog

Personal blog

Cluster_Analysis

This project is being done to determine improvement in search results by cluster analysis.

EntityMiner

What does it do ? - For the detected terms in a text, this application will try to find relevant links from VIVO sites. It uses OpenCalais to find the terms and GWT to do Google site search. To use this tool, copy a news article into the text box below, keep the length of text between 400 - 1000 characters and select the VIVO site to find most probable links from that site. After you hit submit, the text in the text box should change with link tags and a dialogbox should appear with modified text. Best results will be achieved if news article is relevant to selected site. For instance, you could try an article from Cornell Chronicle and select VIVO Cornell to be the site from which links should be retrieved. Terms will only be highlighted if there exists a search result for the same (in selected site). Note: If no site is selected, raw google search will be done on detected terms in the text.

Find-Partner

This is an attempt to build an Android application to find a compatible partner to play a sport.

anupsavvy/bamazon

anupsavvy/basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

anupsavvy/blog

Personal blog

anupsavvy/burger

anupsavvy/coding-interview-university

A complete computer science study plan to become a software engineer.

anupsavvy/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

anupsavvy/DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

anupsavvy/dlaicourse

Notebooks for learning deep learning

anupsavvy/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

anupsavvy/fastai

The fast.ai deep learning library, lessons, and tutorials

anupsavvy/Flashcard-Generator

anupsavvy/FriendFinder

anupsavvy/Guides

Some learnings on coding journey.

anupsavvy/interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

anupsavvy/liri-node-app

Node js command line app

anupsavvy/mlbasics

repository for basic machine learning workshop

anupsavvy/nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

anupsavvy/nytreact

Sample react app

anupsavvy/practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

anupsavvy/pyrack

anupsavvy/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

anupsavvy/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

anupsavvy/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

anupsavvy/reactd3

sample project for integrating react with d3

anupsavvy/scraper

anupsavvy/text

Data loaders and abstractions for text and NLP

anupsavvy/tfjs

A WebGL accelerated JavaScript library for training and deploying ML models.

anupsavvy/tfjs-models

Pretrained models for TensorFlow.js

anupsavvy/the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

anupsavvy/TicTacTuring

Sample game to learn react