Top 7 Python mlflow Projects
Open source platform for the machine learning lifecycleProject mention: [D] Tips for ML workflow on raw data | reddit.com/r/MachineLearning | 2022-01-21
Natural Language Processing Best Practices & ExamplesProject mention: Is there any utility software/bot that produces descriptor tags for a Reddit image post using the comments? | reddit.com/r/redditdev | 2021-11-07
I found this (https://github.com/microsoft/nlp-recipes) resource and it has a list of pre-built or easily customizable NLP models that I'm going to try out.
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
Koalas: pandas API on Apache SparkProject mention: Spark vs Pandas | reddit.com/r/dataengineering | 2021-02-18
If you like excessive use of square brackets.. I mean pandas, you might wanna check out Koalas. Koalas suppose to provide pandas datafrafe API implementation atop of Spark.
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and moreProject mention: Ask HN: Who is hiring? (January 2022) | news.ycombinator.com | 2022-01-03
Seldon | Multiple positions | London/Cambridge UK | Onsite/Remote | Full time | seldon.io
At Seldon we are building industry leading solutions for deploying, monitoring, and explaining machine learning models. We are an open-core company with several successful open source projects like:
We are hiring for a range of positions, including software engineers(go, k8s), ml engineers (python, go), frontend engineers (js), UX designer, and product managers. All open positions can be found at https://www.seldon.io/careers/
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digitsProject mention: Mlflow, fastapi, streamlit template Project | reddit.com/r/learnmachinelearning | 2021-10-26
Projects developed by Domino's R&D teamProject mention: [N] Open Sourcing Checkpoint 🛂 | reddit.com/r/MachineLearning | 2021-09-27
Here is a direct URL: https://github.com/dominodatalab/domino-research/tree/main/checkpoint
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.Project mention: [D] “Please Commit More Blatant Academic Fraud” (Blog post on problems in ML research by Jacob Buckman) | reddit.com/r/MachineLearning | 2021-05-31
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
Python mlflow related posts
Machine Learning adventures with MLFlow - Deploying models from local system to Production
1 project | reddit.com/r/learnmachinelearning | 22 Dec 2021
[P] Mlflow, fastapi, streamlit template
1 project | reddit.com/r/MachineLearning | 26 Oct 2021
How to store preprocessing and feature engineering pipeline?
1 project | reddit.com/r/datascience | 21 Oct 2021
[N] Open Sourcing Checkpoint 🛂
1 project | reddit.com/r/MachineLearning | 27 Sep 2021
Open-sourcing Bridge 🎉
1 project | reddit.com/r/mlops | 18 Aug 2021
[D] Looking for good refreshers on stats / ML to go back to the ML engineer interview game after 2 years doing mostly Software.
3 projects | reddit.com/r/MachineLearning | 17 Aug 2021
[D] “Please Commit More Blatant Academic Fraud” (Blog post on problems in ML research by Jacob Buckman)
2 projects | reddit.com/r/MachineLearning | 31 May 2021
What are some of the best open-source mlflow projects in Python? This list will help you:
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