spprabhu

awesome-text-summarization

The guide to tackle with the Text Summarization

MathsDL-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

microsoft-dsvm

This repo contains deep learning + computer vision code I have ran on the Microsoft Data Science Virtual Machine

ods

Mission: To provide a high-quality open content data structures textbook that is both mathematically rigorous and provides complete implementations.

openalpr

Automatic License Plate Recognition library

Propensity2

Customer Score

vision

Datasets, Transforms and Models specific to Computer Vision

vscode-tools-for-ai

VS Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

courses

fast.ai Courses

cs131_notes

Class notes for CS 131.

Deep-Learning

DeepLearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

Digit-Recognizer

Machine Learning classifier for recognizing the digits.

distro

Torch installation in a self-contained folder

examples

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

fastai

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

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

learn_math_fast

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

models

Models and examples built with TensorFlow

nlp-intent-toolkit

Intent recognition with OpenNLP

notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

SQuAD

Building QA system for Stanford Question Answering Dataset

stanford-corenlp-python

Python wrapper for Stanford CoreNLP tools v3.4.1

Text_Classification-Data-n-codes-

tfjs

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