kiri VS Questgen.ai

Compare kiri vs Questgen.ai 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)

Questgen.ai

Question generation using state-of-the-art Natural Language Processing algorithms (by ramsrigouthamg)
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kiri Questgen.ai
2 3
461 872
- -
8.4 6.3
16 days ago 5 months ago
Shell Python
MIT License 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.

Questgen.ai

Posts with mentions or reviews of Questgen.ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-15.

What are some alternatives?

When comparing kiri and Questgen.ai you can also consider the following projects:

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

fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

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

FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

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

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.

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

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

kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

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

MLH-Quizzet - This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.