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[1] https://www.thehugoawards.org/hugo-history/2024-hugo-awards/


Implementations of Brainfuck and Piet (https://www.dangermouse.net/esoteric/piet/samples.html) interpreters in the Wolfram Language.


Interesting... This project is built upon "GFPGAN v1.4" (https://github.com/TencentARC/GFPGAN) and "FaceSwap Extension - Automatic 1111 - Proof of Concept" (https://github.com/revolverocelot1/-webui-faceswap-unlocked). The GFPGAN project is grounded on its own in the paper "GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior" by Wang et al. (https://xinntao.github.io/projects/gfpgan)


This is not a new face swapping technique, it’s a wrapper around inswapper (aka InstantID, an IP adapter): https://github.com/haofanwang/inswapper

Relevant source https://github.com/hacksider/Deep-Live-Cam/blob/main/modules...


A complement to the Bohr–Mollerup theorem is the Wielandt theorem (https://en.wikipedia.org/wiki/Wielandt_theorem) which characterizes the gamma function for all the complex numbers.


1. Best Performing Model: Claude 3.5 2. Best Performance for the Cost: Gemini 1.5 3. Best Performing Open Source Model: Qwen2-72B


I wonder why gs-quant/gs_quant/timeseries/statistics.py contains the SIR compartmental model class for infectious disease transmission, as well as the SEIR model (https://en.wikipedia.org/wiki/Compartmental_models_in_epidem...)...


Fantastic! Now, with Gaussian splat rendering!


Archive.today mirror: https://archive.ph/pXclO


Mirror in archiv.today: https://archive.vn/24xtW


The archive.today link is: https://archive.ph/SDJMv


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