Deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. (by deeplearning4j)
CouchDB
Seamless multi-master syncing database with an intuitive HTTP/JSON API, designed for reliability (by apache)
Our great sponsors
| Deeplearning4j | CouchDB | |
|---|---|---|
| 13 | 27 | |
| 13,424 | 6,009 | |
| 0.5% | 0.9% | |
| 6.5 | 9.5 | |
| 6 days ago | 6 days ago | |
| Java | Erlang | |
| 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.
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.
Deeplearning4j
Posts with mentions or reviews of Deeplearning4j.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-29.
- Deeplearning4j Suite Overview
- Java for ML?
-
Best way to combine Python and Java?
Have you considered migrating off of Python to just using JVM ML libraries then? I hear good things about Deeplearning4j, but there's quite a few.
-
Anybody here using Java for machine learning?
I've gone to the linux workflow as directed in the docs and reconstructed the maven command line:
-
Data Science Competition
DL4J
-
Java Matrix Benchmark is Updated! See how linear algebra libraries compare for speed
Hey folks, just letting you know we see this thread and I appreciate you guys running these benchmarks. I'm not seeing any of your posts on our forums. I think I saw a notification from our examples but we do not actually monitor that. Please use: https://community.konduit.ai/ or at least the main repo dl4j issues: https://github.com/eclipse/deeplearning4j/issues and you'll get a lot more visibility. Thanks!
-
Does Java has similar project like this one in C#? (ml, data)
Also, the website is now redirected to: https://deeplearning4j.konduit.ai/
-
If it gets better w age, will java become compatible for machine learning and data science?
On top of this several popular projects have been built. This includes tensorflow-java and our project eclipse deeplearning4j: https://github.com/eclipse/deeplearning4j
-
Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
Nd4j is actively developed. The latest commit was 6 hours ago. Nd4j is part of deeplearning4j which is now owned by eclipse (but the main contributors are from a company) https://github.com/eclipse/deeplearning4j/tree/master/nd4j
CouchDB
Posts with mentions or reviews of CouchDB.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
- Why SQLite is so great for the edge
-
Creating an offline node.js app, but what can I use as a database?
CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline.
-
How to run WebAssembly from your Rust Program
Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on replication and reliability. One of the most significant differences between CouchDB and a relational database (besides the absence of tables and schemas) is how you query data. Relational databases allow their users to execute arbitrary and dynamic queries via SQL. Each SQL query may look completely different than the previous one. These dynamic aspects are significant for use cases where you work exploratively with your dataset but don't matter as much in a web context. Additionally, defining an index for a specific table is optional. Most developers will define indices to boost performance, but the database does not require it.
-
Erlang: The coding language that finance forgot
I just turns out you can't always do that in a real codebase. For example see here:
https://github.com/apache/couchdb/blob/23efd8e5b1aa96ef01640fec03a5fedc945ba8b9/src/couch_mrview/src/couch_mrview_http.erl#L228 -
System Design: The complete course
Example: Apache Cassandra, CouchDB.
-
Help need for Third Year Computer Science Project which is a dating website.
For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with.
-
PDF Reviewer (3) - The Architecture
The Apache CouchDB server. It stores Annotation data.
-
Database of Databases
CouchDB
- [AskJS] technology stack for PWA, ServiceWorker and offline first web app?
-
How would you implement online offline db sync?
You can implement the sync algorithm from scratch, or you can use tools like CouchDB and turtleDB to help you.
What are some alternatives?
When comparing Deeplearning4j and CouchDB you can also consider the following projects:
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
Riak - Riak is a decentralized datastore from Basho Technologies.
Weka
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
tensorflow - An Open Source Machine Learning Framework for Everyone
RethinkDB - The open-source database for the realtime web.
Smile - Statistical Machine Intelligence & Learning Engine
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Apache Cassandra - Mirror of Apache Cassandra
Apache Mahout - Mirror of Apache Mahout
Appwrite - Build like a team of hundreds_