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awesome-mobile-machine-learning

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-neural-adaptation-in-nlp

Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-ppml

A curated list of resources for privacy-preserving machine learning

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-real-world-rl

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

awesome-tensorflow-2

👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

aws-emr-spark-model-deployment-workshop

The code for the Spark model deployment workshop

aws-kubeflow-workshop

aws-lambda-model-deployment-workshop

The materials for the model deployment workshop

aws-ml-guide

[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

aws-panorama-samples

This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK

azure-ml-demo

basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

bayes

Bayes data analysis course 02936 at DTU

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian-methods-for-ml

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bear_voila

Demo bear classifier with fastai and Voila

beer_clustering

Cluster Beer Styles based on Reviews

bentoml

The easiest way to build Machine Learning APIs

berlin-risk-streamlit

bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.