tensor-house VS Workshops

Compare tensor-house vs Workshops and see what are their differences.

tensor-house

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more. (by ikatsov)
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tensor-house Workshops
4 1
1,163 355
- 0.3%
7.5 6.3
3 months ago 5 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

tensor-house

Posts with mentions or reviews of tensor-house. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-08.

Workshops

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

What are some alternatives?

When comparing tensor-house and Workshops you can also consider the following projects:

EconML - ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

it-salary-analysis - 💰 Analysis of Salaries in IT Roles: DevOps, Cyber Security, and AI

Robyn - Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

models - A collection of pre-trained, state-of-the-art models in the ONNX format

artificial-self-AMLD-2020 - Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"

models - Models and examples built with TensorFlow

nlpaug - Data augmentation for NLP

vectordb-recipes - High quality resources & applications for LLMs, multi-modal models and VectorDBs

ZeroSync - A STARK proof to sync a Bitcoin full node in an instant.

mta - Multi-Touch Attribution

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building