A Tools that help Data Scientists and ML engineers train and deploy ML models.

Overview

Domino Research

This repo contains projects under active development by the Domino R&D team. We build tools that help Data Scientists and ML engineers train and deploy ML models.

Active Projects

Here’s what we’re working on:

  • 🌉 Bridge - deploy directly from your registry, turning it into a declarative source of truth for your model hosting.

  • 🛂 Checkpoint - adds 'Pull Requests' to your registry to create a better process for promoting models to production.

  • 🎇 Flare - monitor models and get alerts without capturing, storing or processing production inference data.

Owner
Domino Data Lab
Domino Data Lab
Repositório para o #alurachallengedatascience1

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Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

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B DEVA DEEKSHITH 1 Nov 03, 2021
This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

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MBTR is a python package for multivariate boosted tree regressors trained in parameter space.

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Real-time domain adaptation for semantic segmentation

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Distributed Deep learning with Keras & Spark

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Simple data balancing baselines for worst-group-accuracy benchmarks.

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Machine learning algorithms implementation

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Implementation of different ML Algorithms from scratch, written in Python 3.x

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Gautam J 393 Nov 29, 2022
K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr

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Hierarchical Time Series Forecasting using Prophet

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