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Top 23 Python Gpt Projects
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Project mention: gpt4-openai-api VS gpt4free - a user suggested alternative | libhunt.com/r/gpt4-openai-api | 2024-01-04
I cant install
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MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
https://github.com/geekan/MetaGPT :
> MetaGPT takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc.
https://news.ycombinator.com/item?id=29141796 ; "Co-Founder Equity Calculator"
"Ask HN: What are your go to SaaS products for startups/MVPs?" (2020) https://news.ycombinator.com/item?id=23535828 ; FounderKit, StackShare
> USA Small Business Administration: "10 steps to start your business." https://www.sba.gov/starting-business/how-start-business/10-...
>> "Startup Incorporation Checklist: How to bootstrap a Delaware C-corp (or S-corp) with employee(s) in California" https://github.com/leonar15/startup-checklist
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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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If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.
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dify
An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine.
Project mention: GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications | dev.to | 2024-01-24Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and WebUI. Furthermore, it integrates third-party developer tools like LangChain, LlamaIndex, and Dify, facilitating model integration and development.
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LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Project mention: Show HN: I Remade the Fake Google Gemini Demo, Except Using GPT-4 and It's Real | news.ycombinator.com | 2023-12-10Update: For anyone else facing the commercial use question on LLaVA - it is licensed under Apache 2.0. Can be used commercially with attribution: https://github.com/haotian-liu/LLaVA/blob/main/LICENSE
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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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Depends what model you want to train, and how well you want your computer to keep working while you're doing it.
If you're interested in large language models there's a table of vram requirements for fine-tuning at [1] which says you could do the most basic type of fine-tuning on a 7B parameter model with 8GB VRAM.
You'll find that training takes quite a long time, and as a lot of the GPU power is going on training, your computer's responsiveness will suffer - even basic things like scrolling in your web browser or changing tabs uses the GPU, after all.
Spend a bit more and you'll probably have a better time.
[1] https://github.com/hiyouga/LLaMA-Factory?tab=readme-ov-file#...
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RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
https://github.com/BlinkDL/RWKV-LM#rwkv-discord-httpsdiscord... lists a number of implementations of various versions of RWKV.
https://github.com/BlinkDL/RWKV-LM#rwkv-parallelizable-rnn-w... :
> RWKV: Parallelizable RNN with Transformer-level LLM Performance (pronounced as "RwaKuv", from 4 major params: R W K V)
> RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode.
> So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding (using the final hidden state).
> "Our latest version is RWKV-6,*
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petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
So how long until we can do an open source Mistral Large?
We could make a start on Petals or some other open source distributed training network cluster possibly?
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promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
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VALL-E-X
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io
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Extract from awesome-open-gpt
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Project mention: Show HN: Marvin 2.0 – a lightweight, multi-modal AI toolkit | news.ycombinator.com | 2024-01-17
Hey HN! We just released Marvin 2.0.
Marvin is an AI toolkit for developers who want to use LLMs with traditional software. We still see significant challenges integrating LLMs because of how difficult it is to get them to reliably accept and return structured data. Marvin consists of independent, functional tools that address this problem in a variety of ways.
Marvin has always been focused on using LLMs to work with native Python datatypes and Pydantic models. In 2.0 we've expanded this significantly with dedicated APIs for the most common use cases we've seen over the last year: classification, entity extraction, transforming data to types, and generating synthetic data. Marvin 2.0 is also fully multi-modal and supports images as inputs for classification, extraction, and transformation tasks (as well as simple image and speech generation). We've also introduces a Pythonic interface to OpenAI's assistants API, which now powers all of Marvin's interactive components.
We've tried to make an LLM framework that "sparks joy" and captures that same feeling you had the first time you saw an LLM in action. Try it out and let us know what you think!
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awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
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We (Marqo) are doing a lot on 1 and 2. There is a huge amount to be done on the ML side of vector search and we are investing heavily in it. I think it has not quite sunk in that vector search systems are ML systems and everything that comes with that. I would love to chat about 1 and 2 so feel free to email me (email is in my profile). What we have done so far is here -> https://github.com/marqo-ai/marqo
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Project mention: Should I tell my employer about a product that makes my job irrelevant? | /r/cscareerquestions | 2023-07-11
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Python Gpt related posts
- Launch HN: Aqua Voice (YC W24) – Voice-driven text editor
- Ask HN: Textbook Regarding LLMs
- Show HN: GPT Fill‐in‐the‐Blanks: A Placeholder PowerPlay for PowerPoint
- Show HN: We got fine-tuning Mistral-7B to not suck
- GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
- VLLM Sacrifices Accuracy for Speed
- Show HN: Marvin 2.0 – a lightweight, multi-modal AI toolkit
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Index
What are some of the best open-source Gpt projects in Python? This list will help you:
Project | Stars | |
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1 | gpt4free | 54,843 |
2 | MetaGPT | 37,264 |
3 | MindsDB | 20,270 |
4 | dify | 18,174 |
5 | vllm | 16,543 |
6 | LLaVA | 15,271 |
7 | best-of-ml-python | 15,208 |
8 | LLaMA-Factory | 14,188 |
9 | DocsGPT | 14,051 |
10 | RWKV-LM | 11,391 |
11 | petals | 8,557 |
12 | promptflow | 7,720 |
13 | text-generation-inference | 7,320 |
14 | VALL-E-X | 7,040 |
15 | awesome-open-gpt | 4,942 |
16 | marvin | 4,601 |
17 | awesome-pretrained-chinese-nlp-models | 4,050 |
18 | marqo | 4,040 |
19 | Baichuan2 | 3,791 |
20 | gpt-code-ui | 3,461 |
21 | TaskingAI | 3,384 |
22 | OpenAgents | 3,304 |
23 | LMOps | 3,092 |