335 Open source projects that are alternatives of or similar to comet-for-mlflow

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

A fast xgboost feature selection algorithm

Data-centric declarative deep learning framework

yet another custom data science template via cookiecutter

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

All the slides, accompanying code and exercises all stored in this repo. 🎈

CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.

A guide to getting started with Data Science and ML.

The Fuzzy Labs guide to the universe of open source MLOps

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

Jun 2020 scikit-learn sprint

This repository contains notes and projects of Data scientist track from dataquest course work.

List of Data Science and Machine Learning Resource that I frequently use

Python codes from tutorials on the Data Professor YouTube channel

Neptune integration with MLflow

Compilation of R and Python programming codes on the Data Professor YouTube channel.

anomaly detection with anomalize and Google Trends data

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Baixa as planilhas de salários de magistrados, extrai os contracheques, limpa e exporta pra CSV

Predicts the best chess move with 27.5% accuracy by a single matrix multiplication

VS Code Jupyter extension

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Repo of my blogpost articles codes

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

A Clojure high performance data processing system

Pythonic functions for creating and enhancing Hydra applications

Curated list of Python resources for data science.

YT metadata exporter

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

Complied Resources for learning Machine Learning & Data Science

The foundational library of the Morpheus data science framework

GoCD plugins to work with MLFlow as model repository in a CD flow

🌍 A curated list of APIs, open data and ML/AI projects on climate change

The Entire Transcript from the Office in Tidy Format

Understanding emotions from audio files using neural networks and multiple datasets.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Evaluate wandb, tensorboard, neptune, mlflow, etc

GIMLeT – Gestural Interaction Machine Learning Toolkit

An OCaml kernel for Jupyter (IPython) notebook

A day to day plan for this challenge. Covers both theoritical and practical aspects

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the ima…

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

This repository is to share the EdgeAI Lab with Microcontrollers Series material to the entire community. We will share documents, presentations and source code of two demo applications.

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.

Population assignment analysis using R

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🌐 Guide and tools to run a full offline mirror of Wikipedia.org with three different approaches: Nginx caching proxy, Kimix + ZIM dump, and MediaWiki/XOWA + XML dump

Tool for encapsulating, running, and reproducing data science projects

Machine Learning in one line of code

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

Python library for creating data pipelines with chain functional programming

Plant Disease Identification Using Convulutional Neural Network

Some of the projects i made when starting to learn R for Data Science at the university

The Renku Project provides a platform and tools for reproducible and collaborative data analysis.

A repository to keep track of all the code that I end up writing for my blog posts.

Double Trouble in the Double Descent Curve with Optical Processing Units.