iris
VToonify
iris | VToonify | |
---|---|---|
8 | 16 | |
756 | 3,473 | |
- | - | |
1.9 | 1.0 | |
3 months ago | 7 months ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
iris
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From Deep to Long Learning
Yea, after all these LLMs are predicting one sequence of tokens from another sequence of tokens and the tokens could be anything, it just "happens" that text has the most knowledge and the easiest to input, then there are image, sound, video, but tokens could also be learned from world experience in RL:
Transformers are Sample-Efficient World Models:
https://github.com/eloialonso/iris#transformers-are-sample-e...
- What is the next booming topic in Deep RL?
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Most Popular AI Research Sept 2022 - Ranked Based On Total GitHub Stars
Transformers are Sample Efficient World Models https://github.com/eloialonso/iris https://arxiv.org/abs/2209.00588v1
- [D] Most Popular AI Research Sept 2022 - Ranked Based On GitHub Stars
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Minimal PyTorch re-implementation of GPT
This is actually a pretty neat, self-contained implementation that can super easily extended beyond stereotypical natural language models, for example to create world models for video games [1] or to create robot models that can learn to imitate from large, chaotic human demonstration data [2] (disclaimer, I'm an author on the second one.) Basically, GPT (or minGPT) models are EXCELLENT sequence modelers, almost to the point where you can throw any sensible sequence data at it and hope to get interesting results, as long as you don't overfit.
Even though I have only been working on machine learning for around six years, it's crazy to see how the landscape has changed so fast so recently, including diffusion models and transformers. It's not too much to say that we might expect more major breakthroughs by the end of this decade, and end in a place we can't even imagine right now!
[1] https://github.com/eloialonso/iris
- Transformers are Sample Efficient World Models
- [R] Transformers are Sample Efficient World Models: With the equivalent of only two hours of gameplay in the Atari 100k benchmark, IRIS outperforms humans on 10 out of 26 games and surpasses MuZero.
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.
What are some alternatives?
setfit - Efficient few-shot learning with Sentence Transformers
ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Text2Light - [SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
nicegui - Create web-based user interfaces with Python. The nice way.
block-recurrent-transformer-pytorch - Implementation of Block Recurrent Transformer - Pytorch
storydalle
machine-learning-articles - 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
awk-raycaster - Pseudo-3D shooter written completely in gawk using raycasting technique
motion-diffusion-model - The official PyTorch implementation of the paper "Human Motion Diffusion Model"
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
CSL - [COLING 2022] CSL: A Large-scale Chinese Scientific Literature Dataset 中文科学文献数据集
LIA - [ICLR 22] Latent Image Animator: Learning to Animate Images via Latent Space Navigation