pritishyuvraj Goto Github PK

amsm

AMSM stands for Application Monitoring and System Managment. The project had the following highlights

android

byteme

collectiveintelligence-book

Some code and tests I wrote while working through Toby Segaran's book

competitiveprogramming

Solutions to Competitve Programming questions

convolutional-neural-net-for-handwritten-digit-recognition

deep-learning-nlp

Solution to exitising NLP problems using Deep Learning

deeplearning

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

hackbit

It was a college hackathon project where we build a website that could buy, sell or exchange old books.

hackers-of-umass.github.io

our website

harmanhackathon

keras-chatbot-web-api

Simple keras chat bot using seq2seq model with Flask serving web

learning_git

linearregression

Its in 1D. Will soon be uploading for multi-dimensions. I have a sample file. Just replace it with your one.

litho

A declarative framework for building efficient UIs on Android.

machinelearning

Programs related to machine learning. Special focus on Natural Language Processing and Neural Networks

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nudity-pytorch

Nudity detection ML model in PyTorch

personal-website

My personal website

profit-from-stock

Predict and provide actionable intelligence to make profit from stock prices.

pytorch

question-answering

Training and evaluation of SQuAD and NewsQA datasets

react

Learn React native apps by making basic apps

shorttextsimilarity

There are existing methods in Natural Language Processing (NLP) which can find similarity between two longer texts (based on word co-occurence and statistics) but this project deals with shorter texts. It undertakes semantics and syntatic strucutre of a sentence.

simple-neural-network

A simple Python script showing how the backpropagation algorithm works.

slk-website

WWW

soc-pmi-short-text-similarity-

speech-input

Simple speech input for <input>s —replaces the now defunct x-webkit-speech attribute

text-to-speech