garretthoffman Goto Github PK

ai_conf_2019_dl_4_nlp

Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing

avocadocoin-ico

cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)

deploying_data_science_apps

Slides and Code Samples for Talk on Deploying Data Science Applications

dvc

🦉Data Version Control | Git for Data & Models

feast

Feature Store for Machine Learning

garretthoffman.github.io

my blog --

generaters-crate-reservation

Reserved crates.io crate names for generaters

infers-crate-reservations

Reserved crates.io crate names for infers

lstm-oreilly

How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

memn2n

End-To-End Memory Network using Tensorflow

memn2n-tableqa

End-To-End Memory Networks for Question Answering on Tables

mlflow

Open source platform for the machine learning lifecycle

mlflow-modal

MLFlow Deployment Plugin for Modal

neural_qa

Source code for the paper "Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables"

odsc_east_2018_dl_4_nlp

Slides and Code Samples for ODSC East 2018 Talk on Deep Learning Methodologies for Text Classification

odsc_east_2019_deploy_ds_apps

Slides and Code Samples for ODSC East 2019 Talk on Deploying Data Science Applications

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

sage-notebook-cli

CLI for managing AWS Sagemaker Notebook Instances

sas2018_dl_4_nlp

Slides and Code Samples for Sentiment Analysis Symposium 2018 Talk on Deep Learning Methodologies for Text Classification

scikit-learn

scikit-learn: machine learning in Python

seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

strata_2018_dl_4_nlp

Slides and Code Tutorials for Strata Data 2018 Tutorial on Deep Learning Methodologies for Natural Language Processing

tableqa

talks-and-tutorials

Repository of my conference / meetup talks and tutorials

vespa

Vespa is an engine for low-latency computation over large data sets.

vespa-py

The Python interface to the Vespa data serving engine.