VToonify
setfit
| VToonify | setfit | |
|---|---|---|
| 16 | 13 | |
| 3,468 | 1,990 | |
| - | 4.3% | |
| 1.0 | 9.2 | |
| 7 months ago | 8 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
VToonify
- FLiP Stack Weekly for 21 Jan 2023
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AI generated video: Best framework by Theo
this is a VToonify you can chek this here https://github.com/williamyang1991/VToonify
- FLiP Stack Weekly for 15-Jan-2023
- VToonify: Controllable high-resolution portrait video style transfer
- VToonify: Controllable High-Resolution Portrait Video Style Transfer
- VToonify - Controllable High-Resolution Portrait Video Style Transfer
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Hold on to your papers!
Here is the software repository
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Soup from a stone. Creating a Dreambooth model with just 1 image.
Vtoonify is a machine learning model (GAN) created that unlike stable diffusion always reproduces the same output given the same input. For example my character Midas went in looking like the right, can came out looking like the left.
setfit
- FLaNK Stack 05 Feb 2024
- Smarter Summaries with Finetuning GPT-3.5 and Chain of Density
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[Discussion] Convince me that this training set contamination is fine (or not)
It did, sorry for the hasty edits! I removed that part b/c I realized that there isn't a compelling-enough reason for me to believe that text similarity is clearly inappropriate. In fact, you can train the Pr(condition | chat) classifier I suggested above using similarity training! Use SetFit for that. In the end you'll get a classifier and a similarity model.
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Ask HN: What's the best framework for text classification (few-shot learning)?
[3] https://github.com/huggingface/setfit
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Is it worth using LLMs like GPT-3 for text classification?
There's also kinda related approaches like SetFit which calculate embeddings from pretrained transformer models then then fit a classifier on top of the embeddings. I've yet to try it but it supposedly works well with very few labelled examples.
- LLMs for Text Classification (7B parameters)
- GPT-3 vs GPT-Neo / GPT-J for startup classification
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Ideas on how to improve classification and scoring using Mean Pooled Sentence Embeddings
You could have a look at setfit.
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SetFit (Sentence Transformer Fine-tuning) - Fewshot Learning without prompts [D]
Found relevant code at https://github.com/huggingface/setfit + all code implementations here
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Most Popular AI Research Sept 2022 - Ranked Based On Total GitHub Stars
Efficient Few-Shot Learning Without Prompts https://github.com/huggingface/setfit https://arxiv.org/abs/2209.11055v1
What are some alternatives?
ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
nicegui - Create web-based user interfaces with Python. The nice way.
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
storydalle
motion-diffusion-model - The official PyTorch implementation of the paper "Human Motion Diffusion Model"
awk-raycaster - Pseudo-3D shooter written completely in gawk using raycasting technique
git-re-basin - Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
LIA - [ICLR 22] Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Text2Light - [SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation