Failed-ML VS ML-YouTube-Courses

Compare Failed-ML vs ML-YouTube-Courses and see what are their differences.

Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects (by kennethleungty)
AI Artificial intelligence Data Science Deep Learning Machine Learning ML failed-ml Computer Vision data-engineering data-quality Natural Language Processing Production recsys failed-machine-learning failed-data-science Regression Forecasting Classification fml
Source Code
towardsdatascience.com
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ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube. (by dair-ai)
Machine Learning Deep Learning NLP Natural Language Processing AI Data Science
Source Code
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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Failed-ML ML-YouTube-Courses
1 309
691 14,378
- 1.1%
5.2 7.2
9 days ago 4 months ago
MIT License Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Failed-ML

Posts with mentions or reviews of Failed-ML. We have used some of these posts to build our list of alternatives and similar projects.

ML-YouTube-Courses

Posts with mentions or reviews of ML-YouTube-Courses. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Failed-ML and ML-YouTube-Courses you can also consider the following projects:

BetaML.jl - Beta Machine Learning Toolkit

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Transformers-Recipe - 🧠 A study guide to learn about Transformers

AI-Conference-Info - Extensive acceptance rates and information of main AI conferences

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

RubixML - A high-level machine learning and deep learning library for the PHP language.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.

Failed-ML vs BetaML.jl ML-YouTube-Courses vs squirrel-core Failed-ML vs squirrel-core ML-YouTube-Courses vs Awesome-pytorch-list Failed-ML vs yt-channels-DS-AI-ML-CS ML-YouTube-Courses vs Transformers-Recipe Failed-ML vs AI-Conference-Info ML-YouTube-Courses vs applied-ml Failed-ML vs RubixML ML-YouTube-Courses vs spaCy Failed-ML vs applied-ml ML-YouTube-Courses vs nlphoseGUI