Ayesha Ahmad (ayesha92ahmad)

ayesha92ahmad

Geek Repo

Location:Syracuse, NY

Home Page:ayesha92ahmad.github.io

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Ayesha Ahmad's repositories

NLP-image-to-text

code to extract text from images

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SVM-Softmax-Classifier-CIFAR10-dataset

Read and process CIFAR10 dataset, implement SVM and Softmax classifiers, train , and also tune up hyper parameters.

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NLP-Probablistic-context-free-grammar

Develop PCFG for a small subset of English

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moviePredictionSystem

Predicts the rating of movie using data from IMDB data set

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NLP-sentiment-classification

Natural language processing- classification of sentiment on twitter data

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blog-comparison-teen-middleaged

This is a natural language processing project where comparison is made between blogs of teens and blogs of adults in their 40's. A visible difference is seen between the use of the vocabularies of both age groups.

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convolutional-neural-network

Tensorflow implementation of CNN

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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Pure-python-vs-numpy

15 steps are performed on Matrices using both Pure python and numpy and their speeds are compared

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realistic-actions

Using videos to find realistic actions such as walking, running, etc.

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ai_intern

Ai Labs DS intern evaluation

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al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

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cheatsheet

Things to not necessarily remember

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DemoNeuralNet

Toy project to create a simple working neural net in R

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Front-end-Developer-Interview-Questions

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

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guides

A collection of easy-to-understand guides to programming tools

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kaggle-titanic

Predict survival on the Titanic and get familiar with ML basics. Using steps in https://www.kaggle.com/mrisdal/exploring-survival-on-the-titanic and data from https://www.kaggle.com/c/titanic

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learn-python

For programming

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optimization-methods-two-layer-nn

Implement different optimization methods using Numpy

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papers-summaries

Summaries of various papers

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problem-specifications

Shared metadata for exercism exercises.

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python

Exercism exercises in Python.

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Regular-Expressions-SpamLord

NLP Homework to practice regular expression on the Spamlord data set provided by the Stanford NLP class.

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statistics-learning

While I try to learn statistics

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training-neural-network

Read and process CIFAR10 dataset, implement neural network, train th, and also tune up hyper parameters.

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tweet-location-prediction

Attemp to extract/predict location of tweets without the geotags

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