The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 13 Python multi-modal Projects
-
-
DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
-
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.
-
-
-
Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
-
-
-
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.
-
-
GPTDiscord
A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
-
-
OASIS
Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021) (by boschresearch)
Model as a Service https://github.com/modelscope/modelscope
It all started originally on lucidrains/dalle-pytorch in the months following the release of DALL-E (1). The group started as `dalle-pytorch-replicate` but was never officially "blessed" by Phil Wang who seems to enjoy being a free agent (can't blame him).
https://github.com/lucidrains/DALLE-pytorch/issues/116 is where the discord got kicked off originally. There's a lot of other interactions between us in the github there. You should be able to find when Phil was approached by Jenia Jitsev, Jan Ebert, and Mehdi Cherti (all starting LAION members) who graciously offered the chance to replicate the DALL-E paper using their available compute at the JUWELS and JUWELS Booster HPC system. This all predates Emad's arrival. I believe he showed up around the time guided diffusion and GLIDE, but it may have been a bit earlier.
Data work originally focused on amassing several of the bigger datasets of the time. Getting CC12M downloaded and trained on was something of an early milestone (robvanvolt's work). A lot of early work was like that though, shuffling through CC12M, COCO, etc. with the dalle-pytorch codebase until we got an avocado armchair.
Christophe Schumann was an early contributor as well and great at organizing and rallying. He focused a lot on the early data scraping work for what would become the "LAION5B" dataset. I don't want to credit him with the coding and I'm ashamed to admit I can't recall who did much of the work there - but a distributed scraping program was developed (the name was something@home... not scraping@home?).
The discord link on Phil Wang's readme at dalle-pytorch got a lot of traffic and a lot of people who wanted to pitch in with the scraping effort.
Eventually a lot of people from Eleuther and many other teams mingled with us, some sort of non-profit org was created in Germany I believe for legal purposes. The dataset continued to grow and the group moved from training DALLE's to finetuning diffusion models.
The `CompVis` team were great inspiration at the time and much of their work on VQGAN and then latent diffusion models basically kept us motivated. As I mentioned a personal motivation was Katherine Crowson's work on a variety of things like CLIP-guided vqgan, diffusion, etc.
I believe Emad Mostaque showed up around the time GLIDE was coming out? I want to say he donated money for scrapers to be run on AWS to speed up data collection. I was largely hands off for much of the data scraping process and mostly enjoyed training new models on data we had.
As with any online community things got pretty ill-defined, roles changed over, volunteers came/went, etc. I would hardly call this definitive and that's at least partially the reason it's hard to trace as an outsider. That much of the early history is scattered about GitHub issues and PR's can't have helped though.
CogVLM is very good in my (brief) testing: https://github.com/THUDM/CogVLM
The model weights seem to be under a non-commercial license, not true open source, but it is "open access" as you requested.
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
Project mention: Would this method work to increase the memory of the model? Saving summaries generated by a 2nd model and injecting them depending on the current topic. | /r/LocalLLaMA | 2023-06-09
Project mention: DocArray – Represent, send, and store multimodal data for ML | news.ycombinator.com | 2023-04-27
Project mention: Full-environment code interpreter in discord (just like ChatGPT!) + Tons of other features like multi-modality chat, internet-connected chat, chatting with your documents, and more! | /r/SideProject | 2023-10-31
Project mention: Comparing Humans, GPT-4, and GPT-4V on Abstraction and Reasoning Tasks | news.ycombinator.com | 2023-11-19> In other words, if you express a problem in a more complicated space (e.g. a visual problem, or an abstract algebra problem), you will not be able to solve it in the smaller token space, there's not enough information
You're aware multimodel transformers do exactly this?
https://github.com/bytedance/SALMONN
Project mention: Zetascale, Build high-performance AI models with modular building blocks | news.ycombinator.com | 2024-02-09
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python multi-modal related posts
- Show HN: I built an open source AI video search engine to learn more about AI
- CogAgent-18B – visual-based GUI Agent capabilities
- What do you think. When should we expect the next SDXL version?
- shinning the spotlight on CogVLM
- Gemini: Google's most capable AI model yet
- Open-source LLMs with Image Interpretation
- FLaNK Stack Weekly for 27 November 2023
-
A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source multi-modal projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | modelscope | 6,021 |
| 2 | DALLE-pytorch | 5,492 |
| 3 | CogVLM | 4,968 |
| 4 | marqo | 4,111 |
| 5 | Chinese-CLIP | 3,590 |
| 6 | DeepKE | 2,929 |
| 7 | docarray | 2,739 |
| 8 | Video-LLaVA | 2,368 |
| 9 | GPTDiscord | 1,780 |
| 10 | SALMONN | 796 |
| 11 | OASIS | 309 |
| 12 | zeta | 242 |
| 13 | VLDet | 169 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com