kiri VS kiri-docker

Compare kiri vs kiri-docker and see what are their differences.

kiri

Kiri is a visual tool designed for reviewing schematics and layouts of KiCad projects that are version-controlled with Git. (by leoheck)

kiri-docker

Kiri Docker project to run Kiri Revision Inspector inside a Docker container (by leoheck)
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kiri kiri-docker
2 1
461 5
- -
8.4 5.4
16 days ago 22 days ago
Shell Shell
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.

kiri

Posts with mentions or reviews of kiri. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-12.

kiri-docker

Posts with mentions or reviews of kiri-docker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-12.

What are some alternatives?

When comparing kiri and kiri-docker you can also consider the following projects:

Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms

simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

lm-evaluation-harness - A framework for few-shot evaluation of language models.

4ms-kicad-lib - libraries for KiCAD schematics and footprints

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

qagnn - [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)