yashu-seth

pytorch-tabular

A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.

dummyPy

A python module to transform categorical variables to one hot encoded vectors. It particularly handles categorical variables of data that cannot be fit into memory.

friends-analysis-blog

A data analysis of the TV show friends.

BqPivot

A module to generate SQL query to create a pivoted table.

gsoc

My Google Summer of Code proposal.

9x9-tic-tac-toe

A 9X9 tic tac toe game based on a recursive algorithm in Scala.

N-Gram-Word-Predictor

A next word prediction application that aids in typing on mobile phones.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

neural-network-my-way

Practice repository for neural network algorithms.

NLP-progress

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.

pgmpy

Python Library for Probabilistic Graphical Models

hot-dog-or-not-hot-dog

A hot dog or Not hot dog classifier built using fastai.

autorate-review

An automatic sentiment analyzer for customer reviews.

bert

TensorFlow code and pre-trained models for BERT

bootstrapping-blog-code

datasciencecoursera

Assignments and Course files of the Data Specialization courses offered by John Hopkins University on Coursera.

fastai

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

fastai_v1

Initial dev of v1 of fastai

fastText

Library for fast text representation and classification.

functional-programming-coursera

Assignments and Course files of the Functional Programming in Scala specialization offered by École Polytechnique Fédérale de Lausanne on Coursera.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

language

Shared repository for open-sourced projects from the Google AI Language team.

machine-learning-my-way

Practice repository for machine learning algorithms.

mlpack

mlpack: a scalable C++ machine learning library

pgmpy_notebook

Getting Started guide to Probabilistic Graphical Models(PGM) and pgmpy

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

pytorch-pretrained-BERT

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

tensorflow

Computation using data flow graphs for scalable machine learning

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

twitter_data_extractor

Script to extract twitter data using the twitter API.