java-snapshot-testing
Facebook style snapshot testing for JAVA Tests (by origin-energy)
llm-classifier
Classify data instantly using an LLM (by lamini-ai)
java-snapshot-testing | llm-classifier | |
---|---|---|
2 | 4 | |
118 | 249 | |
0.8% | - | |
4.1 | 7.2 | |
9 months ago | about 1 year ago | |
Java | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
java-snapshot-testing
Posts with mentions or reviews of java-snapshot-testing.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-29.
- FLaNK Stack 29 Jan 2024
-
📸 Snapshot Testing with Kotlin
In this PoC I will use origin-energy/java-snapshot-testing and as stated in "the testing framework loved by lazy productive devs" I use it whenever I find myself manually saving test expectations as text files 😅
llm-classifier
Posts with mentions or reviews of llm-classifier.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-13.
-
Lessons after a Half-billion GPT Tokens
We do this for the null hypothesis - is uses an LLM to bootstrap a binary classifier - which handles null easily
https://github.com/lamini-ai/llm-classifier
- FLaNK Stack 29 Jan 2024
-
Good old-fashioned AI remains viable in spite of the rise of LLMs
LLMs introduced zero-shot learning, or “prompt engineering” which is drastically easier to use and more effective than labeling data.
You can also retrofit “prompt engineering” onto good old fashion ML like text classifiers. I wrote a library to do just that here: https://github.com/lamini-ai/llm-classifier
IMO, it’s a short matter of time before this takes over all of what used to be called “deep learning”.
- How to use a LLM to classify text
What are some alternatives?
When comparing java-snapshot-testing and llm-classifier you can also consider the following projects:
trl - Train transformer language models with reinforcement learning.
LLMs-from-scratch - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
reor - Private & local AI personal knowledge management app for high entropy people.
ml-ferret
heynote - A dedicated scratchpad for power users