geomstats VS condo-adapter

Compare geomstats vs condo-adapter and see what are their differences.

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
geomstats condo-adapter
1 2
1,159 3
1.8% -
9.8 3.7
9 days ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License Creative Commons Attribution Share Alike 4.0
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.

geomstats

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

condo-adapter

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

What are some alternatives?

When comparing geomstats and condo-adapter you can also consider the following projects:

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

probability - Probabilistic reasoning and statistical analysis in TensorFlow

edward2 - A simple probabilistic programming language.

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

cracking-the-data-science-interview - A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science