frogbase VS modal-examples

Compare frogbase vs modal-examples and see what are their differences.

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frogbase modal-examples
14 9
754 572
- 5.6%
4.3 9.5
7 months ago 4 days ago
Python 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.

frogbase

Posts with mentions or reviews of frogbase. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-11.

modal-examples

Posts with mentions or reviews of modal-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

When comparing frogbase and modal-examples you can also consider the following projects:

whisper.cpp - Port of OpenAI's Whisper model in C/C++

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

whisper - Robust Speech Recognition via Large-Scale Weak Supervision

FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.

transcribe-anything - Input a local file or url and this service will transcribe it using Whisper AI. Completely private and Free 🤯🤯🤯

WAAS - Whisper as a Service (GUI and API with queuing for OpenAI Whisper)

EasyLM - Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

whisper-playground - Build real time speech2text web apps using OpenAI's Whisper https://openai.com/blog/whisper/

mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

nlp

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