Failed-ML VS AI-Conference-Info

Compare Failed-ML vs AI-Conference-Info 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
Suggest alternative
Edit details

AI-Conference-Info

Extensive acceptance rates and information of main AI conferences (by tranhungnghiep)
Artificial intelligence Computer Vision Data Mining Deep Learning knowledge-discovery Machine Learning Natural Language Processing NLP
Source Code
Suggest alternative
Edit details
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
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Failed-ML AI-Conference-Info
1 2
691 88
- -
5.2 6.5
9 days ago 8 months ago
MIT License -
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.

AI-Conference-Info

Posts with mentions or reviews of AI-Conference-Info. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-29.

What are some alternatives?

When comparing Failed-ML and AI-Conference-Info you can also consider the following projects:

ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.

Conference-Acceptance-Rate - Acceptance rates for the major AI conferences

BetaML.jl - Beta Machine Learning Toolkit

Artificial-Intelligence-And-Data-Science-Pro - Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet [UnavailableForLegalReasons - Repository access blocked]

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

datascience - Curated list of Python resources for data science.

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.

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

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

pycm - Multi-class confusion matrix library in Python

classifai - Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence.

Failed-ML vs ML-YouTube-Courses AI-Conference-Info vs Conference-Acceptance-Rate Failed-ML vs BetaML.jl AI-Conference-Info vs Artificial-Intelligence-And-Data-Science-Pro Failed-ML vs squirrel-core AI-Conference-Info vs datascience Failed-ML vs yt-channels-DS-AI-ML-CS Failed-ML vs RubixML Failed-ML vs applied-ml Failed-ML vs pycm Failed-ML vs classifai