tensorflow
Deeplearning4j
tensorflow | Deeplearning4j | |
---|---|---|
233 | 13 | |
186,816 | 13,710 | |
0.3% | 0.4% | |
10.0 | 8.8 | |
1 day ago | 11 days ago | |
C++ | Java | |
Apache License 2.0 | Apache License 2.0 |
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.
tensorflow
-
Build, Innovate & Collaborate: Setting Up TensorFlow for Open Source Contribution! 🚀✨
🥷 Fork & clone tensorflow repo. ⚙️ Setup Development environment for contribution. 🫸 Push and create pull request.
-
Top 8 OpenSource Tools for AI Startups
Star on GitHub ⭐ - Tensorflow
-
GitHub Repositories Every Developer Should Know: An In-Depth Guide
Access the repository for source code and examples.
- Create ML models that can run in any environment
-
Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto
(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/adae9icuiza0lhd532pc.png)
- TensorFlow: Democratizing Machine Learning with Open Source Power
- Release TensorFlow 2.17.0 · TensorFlow/TensorFlow
-
Top 17 Fast-Growing Github Repo of 2024
TensorFlow
-
Awesome List
GitHub Repository - The main TensorFlow repository.
-
Rebuilding TensorFlow 2.8.4 on Ubuntu 22.04 to patch vulnerabilities
The official 2.8.4 container was published in Nov 2022. That's 1.5 years of OS updates at least. I looked up the 2.8.4 source and found that it's using Ubuntu 20.04 as the base OS. Of note, we're using the x86_64 architecture according to the container image layer: ENV NVARCH=x86_64.
Deeplearning4j
- 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
What are some alternatives?
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Weka
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Smile - Statistical Machine Intelligence & Learning Engine
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Apache Mahout - Mirror of Apache Mahout
scikit-learn - scikit-learn: machine learning in Python
H2O - Sparkling Water provides H2O functionality inside Spark cluster
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration