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GX Kok

gxkok

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reacted to cahlen's post with 👍 24 days ago

In the spirit of "just making shit"—because, frankly, you can these days—I decided to get back to basics. I built a lightweight RL MLP powered by WebGPU that runs directly in your browser. The twist? I replaced the standard MLP with a Continued Fractions network. The real win here is interpretability; by applying a Taylor expansion to the continued fractions, we can actually decompose the output and see exactly which features influenced the outcome. It effectively replaces the usual "it’s just black-box magic" with actual visibility into the logic. It was a fun experiment. Feel free to clone the repo and make it your own! https://huggingface.co/spaces/cahlen/neuron-runner https://github.com/cahlen/neuron-runner https://huggingface.co/papers/2601.21766

liked a model 10 months ago

UCSC-VLAA/gpt-image-edit-training

liked a dataset 10 months ago

UCSC-VLAA/GPT-Image-Edit-1.5M

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New activity in gxkok/layer-diffusion-xl-transparent-attn-lora about 2 years ago

how do you get the lora weight?

#1 opened about 2 years ago by