Pinned Repositories
amazon-sagemaker-tsp-deep-rl
train, deploy, and make inferences using deep reinforcement learning to solve the Travelling Salesperson Problem
ec2-data-science-vim-tmux-zsh
A simple template to set up basic Vim, Tmux, Zsh for the Deep Learning AMI Amazon Linux 2 for data scientists.
torchserve-eks
How to deploy TorchServe on an Amazon EKS cluster for inference.
mlmax
Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.
plit
A Matplotlib wrapper that automates the undifferentiated heavy-lifting of writing boilerplate code while maintaining the power and feel of Matplotlib.
aws-reference
Reference files useful for compute on AWS
CCI
Workshop for Deloitte's Center for Customer Insights
DecisionTrees
Tutorial for Decision Trees in Python
document-understanding-solution
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.
repgpt
Reproducing GPT2
josiahdavis's Repositories
josiahdavis/repgpt
Reproducing GPT2
josiahdavis/aws-reference
Reference files useful for compute on AWS
josiahdavis/document-understanding-solution
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.
josiahdavis/dotfiles
dot files mean to be cloned and linked during the launch of a new EC2
josiahdavis/getting-started-batch
How to use AWS Batch Array Jobs with Python and S3 for input/output.
josiahdavis/profiling-lm
Reference files for programming with PyTorch
josiahdavis/project-skeleton
Simple project structure
josiahdavis/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
josiahdavis/amazon-sagemaker-feature-store-streaming-aggregation
This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.
josiahdavis/cref
Reference Guide for Learning C
josiahdavis/docker-aws-cdk
🐳 Containerized AWS CDK on alpine to avoid having to install CLI on Dev or CI/CD machines.
josiahdavis/josiahdavis
josiahdavis/josiahdavis.github.io
Personal site built with jekyll
josiahdavis/lambdamap
josiahdavis/ml-notebooks
Machine Learning Notebooks
josiahdavis/or-rl-benchmarks
The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
josiahdavis/PH252D
Repo for PH252D group project
josiahdavis/py-ds-template
Cookiecutter template for a Python data science project
josiahdavis/python-deequ
Python API for Deequ
josiahdavis/python-project-skeleton
A simple project structure for Python
josiahdavis/pyutil
Odds and ends
josiahdavis/pyutil-1
Collections of code fragments
josiahdavis/sagemaker-containers
WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkit for model serving.
josiahdavis/sagemaker-tensorflow-serving-container
A TensorFlow Serving solution for use in SageMaker.
josiahdavis/scikit-learn
scikit-learn: machine learning in Python
josiahdavis/tabular
Example of how to get started modelling tabular data in pytorch
josiahdavis/testing
template testing
josiahdavis/torchserve-eks
How to deploy TorchServe on an Amazon EKS cluster for inference.
josiahdavis/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
josiahdavis/TSP_Transformer
Code for TSP Transformer