Kevin P (kevinpCroat)

kevinpCroat

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Location:San Francisco, CA

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Kevin P's starred repositories

semantic-embeddings

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Language:PythonLicense:MITStargazers:263Issues:0Issues:0

stacks-core

The Stacks blockchain implementation

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AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

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auto-sklearn

Automated Machine Learning with scikit-learn

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modAL

A modular active learning framework for Python

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cat-localizer

Localize your cat at home with BLE beacon, ESP32s, and Machine Learning

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PyGM

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

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encord-client-python

Encord Python API Client

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ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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jetbot

An educational AI robot based on NVIDIA Jetson Nano.

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d3fc-webgl-hathi-explorer

A T-SNE scatter plot implemented using D3FC's WebGL series

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pyGPGO

Bayesian optimization for Python

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zenml

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

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serve

Serve, optimize and scale PyTorch models in production

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kb

KnowBert -- Knowledge Enhanced Contextual Word Representations

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mlflow-workshop-part-3

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

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mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

Language:PythonLicense:Apache-2.0Stargazers:36Issues:0Issues:0

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

License:Apache-2.0Stargazers:231Issues:0Issues:0

kaggle-api

Official Kaggle API

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terraform

Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

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ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

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pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

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mlflow

Open source platform for the machine learning lifecycle

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binlist-data

An open-source list of bank BIN/IIN numbers

License:CC-BY-4.0Stargazers:254Issues:0Issues:0

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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seldon-core

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

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timely-dataflow

A modular implementation of timely dataflow in Rust

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materialize

The data warehouse for operational workloads.

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voila

Voilà turns Jupyter notebooks into standalone web applications

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prefect

Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines

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