Data created for www.STEPBible.org, available to other projects under CC BY 4.0

All data files used in experimentation and otherwise.

Language-Agnostic SEntence Representations

This is a repository for an object detection inference API using the Tensorflow framework.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Data science teaching materials

Hindi-English Code Switching UD treebank

Neural Stacking Dependency Parsers for Code Switching texts

Feel free to fine tune large BERT models with Multi-GPU and FP16 support.

Phrase-Based & Neural Unsupervised Machine Translation

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Resources for conservation, development, and documentation of low resource (human) languages.

A list of resources for conservation, development, and documentation of endangered, minority, and low or under-resourced human languages.

BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet

Lab Materials for MIT 6.S191: Introduction to Deep Learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

Autoencoders in Keras

Natural Language Processing with Python Quick Start Guide published by Packt

Models and examples built with TensorFlow

A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.

Generic Set of exercises in python aimed to teach newbies to grasp fundamentals easily.

Numpy exercises. Thanks @Kyubyong! This would be an amazing set of exercises for our freshers to learn from!

Code repository for Getting Started with Modern Python, Published by Packt

Speaker Recognition System using MFCC and GMM.