jwgwalton's repositories

aml-template

This is a template used for setting up a machine learning project running on Azure Machine Learning

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Azure-mlops-nlp-example

NLP example project generated using the Azure MLOps v2 accelerator

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Bag-of-Pytorch

A Bag of Words classifier for text classification using pytorch and pytorch lightning

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BoilerPy3

Python port of Boilerpipe library

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cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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course-v3

The 3rd edition of course.fast.ai

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how-to-ml

An example project on how to organise code for a production ML system.

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image_recognition

Neural network for basic shape recognition, implemented purely in numpy.

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sentiment-analysis

Sentiment analysis using Keras

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tfx-gpu

Dockerfile for running TFX on Nvidia GPU's

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dvc_example

An example of using DVC for reproducability

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fastai-course

Repository of work based on the fastai course

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inspect_ai

Inspect: A framework for large language model evaluations

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jpmml-sparkml

Java library and command-line application for converting Apache Spark ML pipelines to PMML

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jpmml-sparkml-lightgbm

JPMML-SparkML plugin for converting LightGBM-Spark models to PMML

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kubeflow-examples

Examples for Kubeflow and Kubeflow pipelines

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LASER

Language-Agnostic SEntence Representations

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ml-design-patterns

Software Architecture for ML engineers

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ml-models

A dummy storage bucket for use in the how-to-ml series

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ml-template-azure

Template for getting started with automated ML Ops on Azure Machine Learning

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mleap

MLeap: Deploy Spark Pipelines to Production

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mlflow

Open source platform for the machine learning lifecycle

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mlflow-example

An example MLflow project

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mlops-templates

Template for running MlOps workloads on Azure ML Studio

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spark-utils

Dumping ground of utility functions for machine learning in Spark

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yet-another-applied-llm-benchmark

A benchmark to evaluate language models on questions I've previously asked them to solve.

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zero-to-deep-learning

Udemy cours on deep learning with Keras

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