machine-learning-roadmap VS nodebestpractices

Compare machine-learning-roadmap vs nodebestpractices and see what are their differences.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them. (by mrdbourke)
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machine-learning-roadmap nodebestpractices
5 73
7,164 96,436
- -
0.0 7.6
over 1 year ago 13 days ago
Dockerfile
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.

machine-learning-roadmap

Posts with mentions or reviews of machine-learning-roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

nodebestpractices

Posts with mentions or reviews of nodebestpractices. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-19.

What are some alternatives?

When comparing machine-learning-roadmap and nodebestpractices you can also consider the following projects:

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

numjs - Like NumPy, in JavaScript

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

parquetjs - fully asynchronous, pure JavaScript implementation of the Parquet file format

interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

domain-driven-hexagon - Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included

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.

jest-image-snapshot - ✨ Jest matcher for image comparisons. Most commonly used for visual regression testing.

Hello-Kaggle - For someone who is new at Kaggle

oas-tools - NodeJS module to manage RESTful APIs defined with OpenAPI 3.0 Specs over express servers.

Knet.jl - Koç University deep learning framework.

clean-code-javascript - :bathtub: Clean Code concepts adapted for JavaScript