GroundSeg Clustering Optimized Kdtree

Overview
Python bindings for MPI

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SynapseML - an open source library to simplify the creation of scalable machine learning pipelines

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scikit-learn: machine learning in Python

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Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

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whylogs: A Data and Machine Learning Logging Standard

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Quantum Machine Learning

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Random Forest Classification for Neural Subtypes

Random Forest classifier for neural subtypes extracted from extracellular recordings from human brain organoids.

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A repository to index and organize the latest machine learning courses found on YouTube.

📺 ML YouTube Courses At DAIR.AI we ❤️ open education. We are excited to share some of the best and most recent machine learning courses available on

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Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.

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🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

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BASTA: The BAyesian STellar Algorithm

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Firebase + Cloudrun + Machine learning

A simple end to end consumer lending decision engine powered by Google Cloud Platform (firebase hosting and cloudrun)

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Python module for machine learning time series:

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🎛 Distributed machine learning made simple.

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Stats, linear algebra and einops for xarray

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Upgini : data search library for your machine learning pipelines

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Built on python (Mathematical straight fit line coordinates error predictor machine learning foundational model)

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Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

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MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data

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Skoot is a lightweight python library of machine learning transformer classes that interact with scikit-learn and pandas.

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