Failed-ML VS pycm

Compare Failed-ML vs pycm 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

pycm

Multi-class confusion matrix library in Python (by sepandhaghighi)
Machine Learning confusion-matrix Matrix Statistics statistical-analysis accuracy ML AI Mathematics Data Mining Data Analysis Classification Data Science Data neural-network multiclass-classification Deep Learning Artificial intelligence Deeplearning Evaluation
Source Code
pycm.io
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 pycm
1 18
691 1,431
- -
5.2 1.5
8 days ago 21 days ago
Python
MIT License 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.

pycm

Posts with mentions or reviews of pycm. 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 pycm you can also consider the following projects:

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

seq2seq - A general-purpose encoder-decoder framework for Tensorflow

BetaML.jl - Beta Machine Learning Toolkit

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

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

AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022

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.

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

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

pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

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

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Failed-ML vs ML-YouTube-Courses pycm vs seq2seq Failed-ML vs BetaML.jl pycm vs spaCy Failed-ML vs squirrel-core pycm vs AI-Expert-Roadmap Failed-ML vs yt-channels-DS-AI-ML-CS pycm vs InvoiceNet Failed-ML vs AI-Conference-Info pycm vs pretty-print-confusion-matrix Failed-ML vs RubixML pycm vs pyod