OFA
LMOps
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| OFA | LMOps | |
|---|---|---|
| 3 | 6 | |
| 2,318 | 3,162 | |
| 2.2% | 5.7% | |
| 5.8 | 8.3 | |
| 6 months ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
OFA
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[R][P] Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework + VQA Hugging Face Spaces Demo
github: https://github.com/OFA-Sys/OFA
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OFA: model that does text-to-image as well as other tasks
From this:
- [R] Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. Shocking performance in text-to-image synthesis and open-domain tasks.
LMOps
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Has anyone found a way to use Microsoft's Promptist in Stable Diffusion?
Microsoft released an open-sourced prompt optimizer. Has anyone used https://github.com/microsoft/LMOps for prompt optimization? They have it in this demo: https://huggingface.co/spaces/microsoft/Promptist, I'm not sure how to use it for 1.5.
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🚀 Microsoft Open Source LMOps: An AI Prompt Optimization Toolkit For Generative AI Models
Quick Read: https://www.marktechpost.com/2023/02/14/microsoft-open-source-lmops-an-ai-prompt-optimization-toolkit-for-generative-ai-models/ Paper: https://arxiv.org/pdf/2212.09611.pdf Github: https://github.com/microsoft/LMOps
- General technology for enabling AI capabilities with LLMs and Generative models
- microsoft/LMOps: General technology for enabling AI capabilities w/ LLMs and Generative AI models
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Microsoft Promptist : Optimising Stable Diffusion prompts via a language model fine-tuned with reinforcement learning
Project Page : https://github.com/microsoft/LMOps/tree/main/promptist
What are some alternatives?
ImageNet21K - Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
GroundingDINO - Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
langchain - 🦜🔗 Build context-aware reasoning applications
ONE-PEACE - A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
Awesome-Efficient-LLM - A curated list for Efficient Large Language Models
MAGIC - Language Models Can See: Plugging Visual Controls in Text Generation
lora-instruct - Finetune Falcon, LLaMA, MPT, and RedPajama on consumer hardware using PEFT LoRA
UPop - [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
CUPCAKEAGI - 🧁👋 Welcome to CupcakeAGI, where we bake up some sweet and creamy AGI goodness! 🍰🤖
Locomotive - Toolkit for training/converting LibreTranslate compatible language models 🚂