NUWA
hivemind
NUWA | hivemind | |
---|---|---|
23 | 40 | |
2,794 | 1,837 | |
-0.0% | 1.5% | |
3.3 | 5.4 | |
11 months ago | about 1 month ago | |
Python | ||
- | MIT License |
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.
NUWA
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How long until we can create full length movies in ai ?
Github: https://github.com/microsoft/NUWA/tree/main/assets/nuwa_infinity/animation
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[R] NUWA-Infinity, the first paper working on infinite visual synthesis!
Code for https://arxiv.org/abs/2207.09814 found: https://github.com/microsoft/NUWA
- [D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
- Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
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I'm building a timeline for generative image ML models. What's missing?
Microsoft NUWA: https://github.com/microsoft/NUWA
- NUWA Infinity
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With so many new Text to Image "AI" emerging lately, is it not crazy to speculate about Text to Video?
Microsoft NUWA
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Have any researchers in the field discussed anything about the prospect of 'text-to-video' - something that's a bit like DALL-E 2, but with a video as the finished output?
NÜWA from Microsoft.
- Art Student here. So about Dalle 2, am I in trouble or should I continue on with my studies? Moreover, what do you think the future holds in store for specific artists (ie comics as opposed to freelance writers as opposed to animators etc) in light of this announcement?
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Imagine this: complete "fake AI people" are coming, and you didn't even see this coming!
P.S., Lucidrains remade it! AND he's adding an audio transformer to it tomorrow he says! But he needs feedback and someone to train it, I don't think there is enough resources helping this project's training. You can reach him through: https://github.com/microsoft/NUWA
hivemind
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You can now train a 70B language model at home
https://github.com/learning-at-home/hivemind is also relevant
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Would anyone be interested in contributing to some group projects?
I really hope you'll join me, for the Petals support, at least! A single docker-compose.yml file is all we need, for now. If we are able to find enough people willing to host some smaller models, perhaps we could expand into the Hivemind, and create our own, custom foundation model one day?
- Hive mind:Train deep learning models on thousands of volunteers across the world
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Could a model not be trained by a decentralized network? Like Seti @ home or kinda-sorta like bitcoin. Petals accomplishes this somewhat, but if raw computer power is the only barrier to open-source I'd be happy to try organizing decentalized computing efforts
Decentralized deep learning: https://github.com/learning-at-home/hivemind
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Orca (built on llama13b) looks like the new sheriff in town
https://github.com/learning-at-home/hivemind - same people behind it, was made before petals I think.
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Do you think that AI research will slow down to a halt because of regulation?
not if we rise to meet that challenge. here's a few tools that facilitate AI research in the face of an advanced persistent threat: Hivemind- a distributed Pytorch framework
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LLM@home
yeah, there's Hivemind. and there's research wrt how to chunk out training workload so it can be scaled up. not sure why there's commentary that latency issues would limit this sort of enterprise, the architecture typically isn't designed for liveness. other subfields of distributed training/inference include zero-knowledge machine learning. besides all of that, there's also adversarial computation like SafetyNets and refereed delegation of computation.
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[D] Google "We Have No Moat, And Neither Does OpenAI": Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI
We already have the software for it. There are some projects, but the one I'm most familiar with is https://github.com/learning-at-home/hivemind for training and it's sister project https://petals.ml/ for running large models distributed.
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Run 100B+ language models at home, BitTorrent‑style
I'm not entirely how the approach they're using works [0], but I study federated learning and one of the highly-cited survey papers has several chapters (5 and 6 in particular) addressing potential attacks, failure modes, and bias [1].
0: https://github.com/learning-at-home/hivemind
1: https://arxiv.org/abs/1912.04977
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SETI Home Is in Hibernation
The Hivemind project is just that
https://github.com/learning-at-home/hivemind
What are some alternatives?
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
replika-research - Replika.ai Research Papers, Posters, Slides & Datasets
DALLE2-video - Direct application of DALLE-2 to video synthesis, using factored space-time Unet and Transformers
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
min-dalle - min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
alpa - Training and serving large-scale neural networks with auto parallelization.
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]
HiveMind-core - Join the OVOS collective, utils for OpenVoiceOS mesh networking