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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
A Tiny Grammar of Graphics
4 projects | news.ycombinator.com | 14 Jun 2022
20+ Free Tools & Resources for Machine Learning
5 projects | dev.to | 31 Mar 2022
H2O.ai H2O is a deep learning tool built in Java. It supports most widely used machine learning algorithms and is a fast, scalable machine learning application interface used for deep learning, elastic net, logistic regression, and gradient boosting.
Data Science Competition
15 projects | dev.to | 25 Mar 2022
Integrating Hugging Face Transformers & DagsHub
2 projects | reddit.com/r/mlops | 27 Mar 2023
While Transformers already includes integration with MLflow, users still have to provide their own MLflow server, either locally or on a Cloud provider. And that can be a bit of a pain.
Any MLOps platform you use?
5 projects | reddit.com/r/selfhosted | 25 Feb 2023
I have an old labmate who uses a similar setup with MLFlow and can endorse it.3 projects | reddit.com/r/learnmachinelearning | 25 Feb 2023
MLflow - an open-source platform for managing your ML lifecycle. What’s great is that they also support popular Python libraries like TensorFlow, PyTorch, scikit-learn, and R.
Selfhosted chatGPT with local contente
3 projects | reddit.com/r/selfhosted | 24 Feb 2023
even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf.
ML experiment tracking with DagsHub, MLFlow, and DVC
4 projects | dev.to | 12 Jan 2023
Here, we’ll implement the experimentation workflow using DagsHub, Google Colab, MLflow, and data version control (DVC). We’ll focus on how to do this without diving deep into the technicalities of building or designing a workbench from scratch. Going that route might increase the complexity involved, especially if you are in the early stages of understanding ML workflows, just working on a small project, or trying to implement a proof of concept.
AI in DevOps?
2 projects | reddit.com/r/devops | 6 Dec 2022
AWS re:invent 2022 wish list
2 projects | dev.to | 23 Nov 2022
I am seeing growing demand for MLflow (https://mlflow.org/) and I am seeing a lot of people looking at Databricks as commercial offering for MLflow. Alternatively, some popele are implementing something like Managing your Machine Learning lifecycle with MLflow. Therefore, I think this was on my wish list last year, but I really hope AWS announce a Managed MLFlow Service. I know version 2.X is too new but at least 1.X would be great start.
✨ 7 Best Machine Learning Experiment Logging Tools in 2022 🚀
2 projects | reddit.com/r/learnmachinelearning | 25 Sep 2022
[D] Who here are convinced that they have a really good setup that keeps track of their ML experiments?
2 projects | reddit.com/r/MachineLearning | 14 Sep 2022
JBCNConf 2022: A great farewell
6 projects | dev.to | 23 Jul 2022
She made mentions to ML-Ops and MLFlow including Vertex AI the GCP implementation. I will post the video as soon as it is available. In the meantime, you can enjoy any other talk from Nerea Luis
What are some alternatives?
clearml - ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
guildai - Experiment tracking, ML developer tools
dvc - 🦉Data Version Control | Git for Data & Models | ML Experiments Management
tensorflow - An Open Source Machine Learning Framework for Everyone
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
neptune-client - :ledger: Experiment tracking tool and model registry
scikit-learn - scikit-learn: machine learning in Python
gensim - Topic Modelling for Humans
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator