Pinned Repositories
AI_Conf_2019_DL_4_NLP
Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
deploying_data_science_apps
Slides and Code Samples for Talk on Deploying Data Science Applications
lstm-oreilly
How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.
mlflow-modal
MLFlow Deployment Plugin for Modal
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
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
Strata_2018_DL_4_NLP
Slides and Code Tutorials for Strata Data 2018 Tutorial on Deep Learning Methodologies for Natural Language Processing
talks-and-tutorials
Repository of my conference / meetup talks and tutorials
garretthoffman's Repositories
garretthoffman/lstm-oreilly
How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.
garretthoffman/AI_Conf_2019_DL_4_NLP
Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
garretthoffman/Strata_2018_DL_4_NLP
Slides and Code Tutorials for Strata Data 2018 Tutorial on Deep Learning Methodologies for Natural Language Processing
garretthoffman/ODSC_East_2019_Deploy_DS_Apps
Slides and Code Samples for ODSC East 2019 Talk on Deploying Data Science Applications
garretthoffman/ODSC_East_2018_DL_4_NLP
Slides and Code Samples for ODSC East 2018 Talk on Deep Learning Methodologies for Text Classification
garretthoffman/talks-and-tutorials
Repository of my conference / meetup talks and tutorials
garretthoffman/deploying_data_science_apps
Slides and Code Samples for Talk on Deploying Data Science Applications
garretthoffman/mlflow-modal
MLFlow Deployment Plugin for Modal
garretthoffman/SAS2018_DL_4_NLP
Slides and Code Samples for Sentiment Analysis Symposium 2018 Talk on Deep Learning Methodologies for Text Classification
garretthoffman/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
garretthoffman/sage-notebook-cli
CLI for managing AWS Sagemaker Notebook Instances
garretthoffman/AvocadoCoin-ICO
garretthoffman/cnn-dailymail
Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)
garretthoffman/dvc
🦉Data Version Control | Git for Data & Models
garretthoffman/feast
Feature Store for Machine Learning
garretthoffman/garretthoffman.github.io
my blog --
garretthoffman/generaters-crate-reservation
Reserved crates.io crate names for generaters
garretthoffman/infers-crate-reservations
Reserved crates.io crate names for infers
garretthoffman/memn2n
End-To-End Memory Network using Tensorflow
garretthoffman/MemN2N-tableQA
End-To-End Memory Networks for Question Answering on Tables
garretthoffman/mlflow
Open source platform for the machine learning lifecycle
garretthoffman/neural_qa
Source code for the paper "Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables"
garretthoffman/pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)
garretthoffman/scikit-learn
scikit-learn: machine learning in Python
garretthoffman/tableQA
garretthoffman/vespa
Vespa is an engine for low-latency computation over large data sets.
garretthoffman/vespa-py
The Python interface to the Vespa data serving engine.