SaaSHub helps you find the best software and product alternatives Learn more →
Smile Alternatives
Similar projects and alternatives to Smile
-
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.
-
Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing
-
Sonar
Write Clean Java Code. Always.. Sonar helps you commit clean code every time. With over 600 unique rules to find Java bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
-
-
-
ND4S
ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.
-
Deep Java Library (DJL)
An Engine-Agnostic Deep Learning Framework in Java
-
InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
-
-
-
-
-
Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
-
-
-
kotlindl
High-level Deep Learning Framework written in Kotlin and inspired by Keras
-
-
-
-
deeplearning4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec) (by deeplearning4j)
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Smile reviews and mentions
-
Just want to vent a bit
Although it may be a bit more work, you can do both machine learning and AI in Java. If you are doing deep learning, you can use DeepJavaLibrary (I do work on this one at Amazon). If you are looking for other ML algorithms, I have seen Smile, Tribuo, or some around Spark.
-
Anybody here using Java for machine learning?
For deploying a trained model there are a bunch of options that use Java on top of some native runtime like TF-Java (which I co-lead), ONNX Runtime, pytorch has inference for TorchScript models. Training deep learning models is harder, though you can do it for some of them in DJL. Training more standard ML models is much simpler, either via Tribuo, or using things like LibSVM & XGBoost directly, or other libraries like SMILE or WEKA.
-
What libraries do you use for machine learning and data visualizing in scala?
I use smile https://github.com/haifengl/smile with ammonite and it feels pretty easy/good to work with. Of course for pure looking at data, and exploration, you're not going to beat python.
-
Python VS Scala
Actually, it does. Scala has Spark for data science and some ML libs like Smile.
-
Machine learning on JVM
I was using Smile for some period - https://haifengl.github.io/ - it's quite small and lightweight Java lib with some very basic algorithms - I was using in particularly cauterization. Along with this it provides Scala API.
-
A note from our sponsor - #<SponsorshipServiceOld:0x00007fea59c38ac0>
www.saashub.com | 3 Feb 2023
Stats
haifengl/smile is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.