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algorithm_lifecycle_tools

Temp repo for algorithm lifecycle workflow utilities

algorithmia-adk-python

The Python based Algorithm Development Kit, used to deploy onto Algorithmia

algorithmia-newrelic

Temp repo for colab work

algorithmia_ci_modeldeployment

algorithmia_github_issue_hook

Algorithmia Github Issue Hook

algorithmia_modelrepo

algorithmia_multimodel_action

algorithmia_multimodel_demo

app-engine-standard-cronjob

Cron job setup, for a Java App Engine project running on Standard Environment

aslisabanci.github.io

ba_222_gencg_h1801

Generative Computer Graphics - winter 2018 - Main Repo

blog

company_blogposts

coursera-practicalmachinelearning

Repo for the course project of Coursera - Practical Machine Learning MOOC

custom-models

Various DataRobot MLOps examples

datastructures

A Literate Program about Data Structures and Object-Oriented Programming

demo_autodeploy_algo_on_algorithmia

Example repository demonstrating a CI workflow between Github and Algorithmia

demo_autodeploy_algo_on_github

Example repository demonstrating a CI workflow between Github and Algorithmia

distilbert_multiclass_training

Model training and prediction algorithm classifying texts per topic and sentiment, using DistilBERT and PyTorch. Uses Github Actions to continuously train and deploy the model to Algorithmia.

fastai

The fastai deep learning library, plus lessons and and tutorials

fastai-coursev3-colab

Fastai course-v3 notebooks modified to run on Google Colab

fastpages-issue-reproduce

gencg_h2001

Generative Computer Graphics - winter 2020 - Main Repo

generative-design-systems-with-p5js

Code to accompany a series of videos.

gitignore

A collection of useful .gitignore templates

integrations

Integrations with third-party services/providers: code templates, plugins, etc

kaggle_colab

Setting up Kaggle environment on Google Colab

llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

mercury-ml

Mercury-ML is an open source Machine Learning workflow management library. Its core contributors are employees of Alexander Thamm GmbH

ml_demo

Demo repository to creating and continuously deploying an XGBoost mode to Algorithmia, via Github Actions