airunner
stan
airunner | stan | |
---|---|---|
25 | 44 | |
192 | 2,521 | |
13.0% | 1.1% | |
9.9 | 9.4 | |
2 days ago | 7 days ago | |
Python | C++ | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" 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.
airunner
-
Show HN: Talk to an LLM (and interrupt it) with your voice [video]
AI Runner is an application that I have been developing for over a year. This next iteration is a near total rewrite and adds lots of new features - what started out as an AI Art application has evolved into a multi-modal AI assistant built with pure python. It runs locally and offline on your own hardware (I recommend using an RTX 2080s or higher).
You can get the source here: https://github.com/Capsize-Games/airunner/
-
AI Runner: real time voice to text conversation with PC preview [video]
Hi all, I've been working on this application for quite some time. It started out as a Stable Diffusion art app, and is now transitioning into a full featured AI assistant of sorts.
The video features me talking to the computer using my headphones. It records my speech, translates bytes to text, passes that to the LLM which generates text, and then uses another model for text to speech.
The video also shows me asking for an image at which point the LLM generates a prompt. Stable Diffusion is loaded and the prompt is passed to SD to generate the image.
The models I'm using:
- TTS: SpeechT5
- LLM: Mistral 7b
- Stable Diffusion: Turbo
- STT: whisper-tiny
- Vision: various, still in development
As I mentioned there at the end, vision is still in development. I have a working prototype in which images are taken every second, translated into text and then passed to my chat prompt. It works OK but is often wrong.
The project is open source under GPL-3, written with Python using PyQT6. You can find it here:
https://github.com/Capsize-Games/airunner
The compiled stable version is available for download on itch, but only includes image generation capabilities, everything else is in the unreleased 3.0.0 version
https://capsizegames.itch.io/ai-runner
-
Show HN: AI RUNNER – LLMs and Stable Diffusion on local hardware
I am the creator of AI Runner, an application that allows you to run Stable Diffusion and LLMs locally on your own hardware. It is built with pure python using PyQT6, Huggingface and many more libraries. The goal is to create a local AI Assistant that can run on local hardware.
Although the current compiled production version 2.2.0 is limited to Stable Diffusion, I have added LLM support and much more to the upcoming v3.0.0.
With it you can run chatbots, connect your camera and microphone to pull images and text for use with the chat bot (a work in progress) and much more.
I test heavily using a 2080s. Version 2.2.0 has also been tested with a 1080GTX and also runs on the CPU (albeit very slowly).
I'm using agents and tools for the bot as well, so you can make it do things like RAG, control the application, launch apps on your computer, generate prompts for stable diffusion and much more.
Additionally I have added text to speech (there are currently two options with various settings to choose from, SpeechT5 and Bark).
AI Runner is GPL 3.0 and uses pyinstaller to create a compiled version for Windows and Ubuntu, available here https://capsizegames.itch.io/ai-runner
Version 3.0.0 is still under development. I hope to launch within the next month or so, but if you'd like to get a pre-release preview you can install the latest version from master.
This is a passion project of mine that I've been working on since 2022. The upcoming version has been in development for around 7 months and during that time I got Covid and the flu which slowed me down by a little over a month.
If you have questions please don't hesitate to ask.
- I have a distributed app with active users, how can I become profitable?
-
AI Runner now with Kandinsky
Hi, I am the creator of AI Runner - a GUI that allows you to run Stable Diffusion and Kandinsky locally from your own hardware without installing any additional libraries. It is a compiled open source application. Its currently 50% off during the itch.io summer sale (or free if you want to install the requirements from source - see link at the end of this post for more info)
-
Controlnet v1.1 Lineart
I created a lowcost opensource no-install stable diffusion / kandinsky app called AI Runner that you might be interested in checking out https://capsizegames.itch.io/ai-runner
-
Help
Bummer tho bud, sorry we couldn't get you up and running but good luck and don't give up yet lol, there are plenty of other UIs you can try out :D That reminds me, there's this one I tried a bit ago that someone on here released, it was easy to set up and would probably work for you.
-
Portable windows install/app for stable diffusion with GUI (or WebGUI)
AI Runner
- AI Runner vs automatic1111 webui
-
AI Runner v1.10.2: Extensions, LoRA and ControlNet v.1.1
As always, this is a work in progress. If you run into bugs, feel free to DM or join my Discord server or file a report on github
stan
- Stan: Statistical modeling and high-performance statistical computation
-
Elevate Your Python Skills: Machine Learning Packages That Transformed My Journey as ML Engineer
Alternatives: stan and edward
- How often do you see Bayesian Statistics or Stan in the DS world? Essential skill or a nice to have?
-
Rstan Package in ATPA
remove.packages(c("StanHeaders", "rstan")) install.packages("rstan", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))
-
[Q] Is there a method for adding random effects to an interval censored time to event model?
My approach to problems like this is to write down the proposed model mathematically first, in extreme detail. I find hierarchical form to be the easiest way to break it down piece by piece. Once I have the maths then I turn it into a Stan model. Last step is to use the Stan output to answer the research questions.
-
HELP Conjugate Priors in Bayesian Regression in SPSS
Here is a good breakdown of recommendations from Andrew Gelman.
-
Demand Planning
For instance my first choice in these cases is always a Bayesian inference tool like Stan. In my experience as someone who’s more of a programmer than mathematician/statistician, Bayesian tools like this make it much easier to not accidentally fool yourself with assumptions, and they can be pretty good at catching statistical mistakes.
-
What do actual ML engineers think of ChatGPT?
I tend to be most impressed by tools and libraries. The stuff that has most impressed me in my time in ML is stuff like pytorch and Stan, tools that allow expression of a wide variety of statistical (and ML, DL models, if you believe there's a distinction) models and inference from those models. These are the things that have had the largest effect in my own work, not in the sense of just using these tools, but learning from their design and emulating what makes them successful.
- ChatGPT4 writes Stan code so I don’t have to
-
How to get started learning modern AI?
oh its certainly used in practice. you should look into frameworks like Stan[1] and pyro[2]. i think bayesian models are seen as more explainable so they will be used in industries that value that sort of thing
[1] https://mc-stan.org/
What are some alternatives?
aihandler - A simple engine to help run diffusers and transformers models
PyMC - Bayesian Modeling and Probabilistic Programming in Python
stable_diffusion_sketch - Stable Diffusion Sketch, an Android client app that connect to your own automatic1111's Stable Diffusion Web UI
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
StableDiffusion-Windows-GUI
rstan - RStan, the R interface to Stan
chatai - Official Repo for Chat AI
Elo-MMR - Skill estimation systems for multiplayer competitions
Stable-Diffusion-Video2Video - Small script for AUTOMATIC1111/stable-diffusion-webui to run video through img2img.
brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Magnetic_Drawing_Board - Digital version of the beloved Magnetic Drawing Board
probability - Probabilistic reasoning and statistical analysis in TensorFlow