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Awesome-ml Alternatives
Similar projects and alternatives to awesome-ml
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text-generation-webui
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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AGiXT
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
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anything-llm
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
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engauge
Discontinued Product Analytics, Business Intelligence, and Product Management in a fully self-contained box
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better awesome-ml alternative or higher similarity.
awesome-ml reviews and mentions
Posts with mentions or reviews of awesome-ml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-26.
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AI Infrastructure Landscape
I do something like that for open source:
https://github.com/underlines/awesome-ml
But it lost a bit of traction lately.
It needs re-work for the categories, or better, a tagging system, because these products and libraries can sit in more than one space.
Plus it either needs massive collaboration, or some form of automation (with an LLM and indexer), as I can't keep up with it.
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OpenVoice: Versatile Instant Voice Cloning
This aera is barely new. Look at how old some of the projects are:
https://github.com/underlines/awesome-ml/blob/master/audio-a...
The thing that changes is the complexity to run it. I was training my wife's voice and my voice for fun and needed 15min of audio and trained on my 3080 for 40 minutes.
Now it's 2 Minutes.
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Show HN: Floneum, a graph editor for local AI workflows
Thanks for your clarifications. I added it to my awesome list:
https://github.com/underlines/awesome-marketing-datascience/...
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AI for AWS Documentation
RAG is very difficult to do right. I am experimenting with various RAG projects from [1]. The main problems are:
- Chunking can interfer with context boundaries
- Content vectors can differ vastly from question vectors, for this you have to use hypothetical embeddings (they generate artificial questions and store them)
- Instead of saving just one embedding per text-chuck you should store various (text chunk, hypothetical embedding questions, meta data)
- RAG will miserably fail with requests like "summarize the whole document"
- to my knowledge, openAI embeddings aren't performing well, use a embedding that is optimized for question answering or information retrieval and supports multi language. Also look into instructor embeddings: https://github.com/embeddings-benchmark/mteb
1 https://github.com/underlines/awesome-marketing-datascience/...
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Explore and compare the parameters of top-performing LLMs
I do the same and with currently with 700+ github stars people seem to like it, but it's still curated/manual, because the hf search API is so limited and I don't have the time to create a scraper.
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Vicuna v1.3 13B and 7B released, trained with twice the amount of ShareGPT data
Added to the list
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Useful Links and Info
I keep mine fairly up to date as well, almost daily: https://github.com/underlines/awesome-marketing-datascience/blob/master/README.md
- How to keep track of all the LLMs out there?
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Run and create custom ChatGPT-like bots with OpenChat
Disclaimer: I am curating LLM-tools on github [1]
A few thoughts:
* allow for custom endpoint URLs, this way people can use open source LLMs with a fake openAI API backend like basaran[2] or llama-api-server[3]
* look into better embedding methods for info-retrieval like InstructorEmbeddings or Document Summary Index
* Don't use a single embedding per content item, use multiple to increase retrieval quality
1 https://github.com/underlines/awesome-marketing-datascience/...
2 https://github.com/hyperonym/basaran
3 https://github.com/iaalm/llama-api-server
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Seeking clarification about LLM's, Tools, etc.. for developers.
Oobabooga isn't a wrapper for llama.cpp, but it can act as such. A usual Oobabooga installation on windows will use a GPTQ wheel (binary) compiled for cuda/windows, or alternatively use llama.cpp's API and act as a GUI. On Linux you had the choice to use the triton or cuda branch for GPTQ, but I don't know if that is still the case. You can also go the route to use virtualized and hardware accelerated WSL2 Ubuntu on Windows and use anything similar to linux. See my guide
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A note from our sponsor - SaaSHub
www.saashub.com | 26 Apr 2024
Stats
Basic awesome-ml repo stats
27
1,383
9.1
9 days ago
underlines/awesome-ml is an open source project licensed under MIT License which is an OSI approved license.
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