csvlens | java | |
---|---|---|
6 | 6 | |
2,267 | 772 | |
- | 4.9% | |
8.9 | 8.6 | |
12 days ago | 27 days ago | |
Rust | Java | |
MIT License | 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.
csvlens
-
Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
Some which I use: lf, neomutt, moc/mocp, newsboat, fzf. Screenshots for some: https://nunosempere.com/blog/2023/03/27/soothing-software/
to a lesser extent: btop, htop (but I find the shortcuts confusing), csvlens (https://github.com/YS-L/csvlens), lynx (elinks, links).
-
Show HN: TextQuery – Query and Visualize Your CSV Data in Minutes
My goto for a while has been - https://github.com/YS-L/csvlens
This seems quite good, but I'd rather a terminal app.
- FLaNK Weekly 08 Jan 2024
- Csvlens: Command line CSV file viewer. Like less but made for CSV
-
csvlens: Command line CSV file viewer
I made a command line CSV file viewer in Rust, csvlens:
java
- FLaNK Weekly 08 Jan 2024
-
What libraries do you use for machine learning and data visualizing in scala?
There are Java bindings for TensorFlow, but that's quite low level. I tried to see if I can get some Keras API for Scala, but I'm no expert and haven't had enough time to invest in this, so it's stuck in alpha. Maybe I develop it slow burning over the next year. A bit envious that Kotlin has a Keras-like library.
- Choosing Java as your language for a Machine Learning project
-
TensorFlow introduction that works with Java
Hope this is not too late to answer your question. In theory there are no official Java tutorials for Tensorflow 2. The Java implementation is still under development at https://github.com/tensorflow/java
-
[D] Java vs Python for Machine learning
To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.
-
Can we use the keras model in another programming language, such as java or etcs?
Here's the latest java git repo https://github.com/tensorflow/java
What are some alternatives?
hck - A sharp cut(1) clone.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
1brc - 1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
JNA - Java Native Access
cortex - Drop-in, local AI alternative to the OpenAI stack. Multi-engine (llama.cpp, TensorRT-LLM). Powers 👋 Jan
CoreNLP - CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
SSH-Snake - SSH-Snake is a self-propagating, self-replicating, file-less script that automates the post-exploitation task of SSH private key and host discovery.
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
xsv - A fast CSV command line toolkit written in Rust.
tensorflow-keras-scala - Scala-based Keras API for the Java bindings to TensorFlow. Mirror of https://codeberg.org/sciss/tensorflow-keras-scala
libwebsockets - canonical libwebsockets.org networking library
java-models - Models in Java