I'm a musician, but am also pretty amused by this anti ai wave. There was recently a post referencing aphex twin and old school idm and electronic music stuff and i can't help bein reminded how every new tech kit got…
I find python's async to be lacking in fine grained control. It may be fine for 95% of simple use cases, but lacks advanced features such as sequential constraining, task queue memory management, task pre-emption etc.…
I've been out of the loop for stats for a while, but is there a viable approach for estimating ex ante the number of clusters when creating a GMM? I can think if constructing ex post metrics, i.e using a grid and…
Is there any didactic implementation of the Disruptor / multicast ring available somewhere? I've been curious in working through some practical example to understand the algorithm better.
Is there also a decent c++ implementation of the disruptor out there?
- Location: Switzerland - Remote: Yes - Wiling to relocate: Yes - Technologies: C++, Python, Torch - CV: https://www.linkedin.com/in/estlan-7217a8aa/ - Email: estebanlanter86 [at] gmail [dot] com About me: Professional…
This is a known problem in generative workflows for AI vids, but solvable. Midjourney recently introduced a feature that does this for stills, and controlnets available for the comfyui ecosystem also can partially solve…
Coming from finance, I always wonder how and if these large pre-trained models are usable on any financial time series. I see the appeal of pre-trained models in areas where there is clearly a stationary pattern, even…
I was referring to being stuck with having to create simple / low tri polygonal meshes as opposed to using complex poly meshes such as photogrammetry would provide. The paper specifically addresses clean low poly meshes…
"Lower triangle budget media" is what I wonder if its still a valid problem. Modern game engines coupled with modern hardware can already render insane number of triangles. It feels like the problem is rather in engines…
I'm not a 3D artist, but why are we still, for lack of a better word, "stuck" with having / wanting to use simple meshes? I appreciate the simplicity, but isn't this an unnecessary limitation of mesh generation? It…
Deleted comment, wrong thread
What matters more to me usually in a time series context is how forecasting tools deal with non-stationarity of the underlying data process. I'm not an expert on LLMs, but I assume they wont' be the ideal tool to use in…
I believe Carma Reincarnation used a completely new system, I believe they talked about that in the dev blog. While the system may have been similarly powerful in theory, I distinctly remember it also being less fun…
Agree, Carmageddon 2's physics still feel modern to this day. I can't think of any other game except Beam NG perhaps that achieves the same level. But the impacts in Carma 2 seem to suprass even that one.
I used to do R intensly. What I found, after moving to more "SE"-centric languages such as Python or C++, was that R becomes quite frustrating when you need to build something maintainable. Which is basically a…
I'll most likely open source it once it's refactored properly and I have a chance to show it off :) Right now it's not looking as fancy as it could, i've been focusing more on optimizing the render engine for speed and…
I'm working on a real-time gpu accelerated 3d visualizer for high frequency market Exchange data. There's no practical use case for it except that it looks cool. I don't plan on making it useful either, instead I'm…
I actually agree with the vision, like its clear that media convergence will all kinda lead us into a common tech space, be it AR / VR / 3D whatever. But I don't think it needs to be called metaverse. We should have…
It seems to be 0.9% MoM. While still high, a lot of the YoY numbers dominating these headline are driven by statistical base effect from covid anomalies 12 months ago. Given we're still in recovery mode from Covid, I'd…
Jup, that's how it went with me. Read first hyperion, then had to dive into keats because he was such a central figure - in a sci fi book which måde me just more so curious.
I've been wondering about the exact same thing. Basically, a sufficiently calibrated and targeted GPT3 bot swarm could be employed to render at least some parts of these communities into useless echo chambers. I think…
Good point as well - sometimes its not about dimensionality reduction but more about persistent representation, having this geared towards highly non-stationary environments is nice thing to have.
Still, there are a lot of domains where transfer learning is no the most applicable setting - I'm thinking of highly noisy and non-stationary setting such as finance. In some of these domains, especially time series,…
What about findings w. R. T. Online learning? I find continuous learning quality of algorithms to be a topic which often seems to be more of a side-concern, although it carries a lot of relevance in applied settings.
I'm a musician, but am also pretty amused by this anti ai wave. There was recently a post referencing aphex twin and old school idm and electronic music stuff and i can't help bein reminded how every new tech kit got…
I find python's async to be lacking in fine grained control. It may be fine for 95% of simple use cases, but lacks advanced features such as sequential constraining, task queue memory management, task pre-emption etc.…
I've been out of the loop for stats for a while, but is there a viable approach for estimating ex ante the number of clusters when creating a GMM? I can think if constructing ex post metrics, i.e using a grid and…
Is there any didactic implementation of the Disruptor / multicast ring available somewhere? I've been curious in working through some practical example to understand the algorithm better.
Is there also a decent c++ implementation of the disruptor out there?
- Location: Switzerland - Remote: Yes - Wiling to relocate: Yes - Technologies: C++, Python, Torch - CV: https://www.linkedin.com/in/estlan-7217a8aa/ - Email: estebanlanter86 [at] gmail [dot] com About me: Professional…
This is a known problem in generative workflows for AI vids, but solvable. Midjourney recently introduced a feature that does this for stills, and controlnets available for the comfyui ecosystem also can partially solve…
Coming from finance, I always wonder how and if these large pre-trained models are usable on any financial time series. I see the appeal of pre-trained models in areas where there is clearly a stationary pattern, even…
I was referring to being stuck with having to create simple / low tri polygonal meshes as opposed to using complex poly meshes such as photogrammetry would provide. The paper specifically addresses clean low poly meshes…
"Lower triangle budget media" is what I wonder if its still a valid problem. Modern game engines coupled with modern hardware can already render insane number of triangles. It feels like the problem is rather in engines…
I'm not a 3D artist, but why are we still, for lack of a better word, "stuck" with having / wanting to use simple meshes? I appreciate the simplicity, but isn't this an unnecessary limitation of mesh generation? It…
Deleted comment, wrong thread
What matters more to me usually in a time series context is how forecasting tools deal with non-stationarity of the underlying data process. I'm not an expert on LLMs, but I assume they wont' be the ideal tool to use in…
I believe Carma Reincarnation used a completely new system, I believe they talked about that in the dev blog. While the system may have been similarly powerful in theory, I distinctly remember it also being less fun…
Agree, Carmageddon 2's physics still feel modern to this day. I can't think of any other game except Beam NG perhaps that achieves the same level. But the impacts in Carma 2 seem to suprass even that one.
I used to do R intensly. What I found, after moving to more "SE"-centric languages such as Python or C++, was that R becomes quite frustrating when you need to build something maintainable. Which is basically a…
I'll most likely open source it once it's refactored properly and I have a chance to show it off :) Right now it's not looking as fancy as it could, i've been focusing more on optimizing the render engine for speed and…
I'm working on a real-time gpu accelerated 3d visualizer for high frequency market Exchange data. There's no practical use case for it except that it looks cool. I don't plan on making it useful either, instead I'm…
I actually agree with the vision, like its clear that media convergence will all kinda lead us into a common tech space, be it AR / VR / 3D whatever. But I don't think it needs to be called metaverse. We should have…
It seems to be 0.9% MoM. While still high, a lot of the YoY numbers dominating these headline are driven by statistical base effect from covid anomalies 12 months ago. Given we're still in recovery mode from Covid, I'd…
Jup, that's how it went with me. Read first hyperion, then had to dive into keats because he was such a central figure - in a sci fi book which måde me just more so curious.
I've been wondering about the exact same thing. Basically, a sufficiently calibrated and targeted GPT3 bot swarm could be employed to render at least some parts of these communities into useless echo chambers. I think…
Good point as well - sometimes its not about dimensionality reduction but more about persistent representation, having this geared towards highly non-stationary environments is nice thing to have.
Still, there are a lot of domains where transfer learning is no the most applicable setting - I'm thinking of highly noisy and non-stationary setting such as finance. In some of these domains, especially time series,…
What about findings w. R. T. Online learning? I find continuous learning quality of algorithms to be a topic which often seems to be more of a side-concern, although it carries a lot of relevance in applied settings.