User contributions for David

01:3601:36, 5 April 2024 diff hist −1‎ Private:Uncorrelated Processes ‎No edit summary current
01:3501:35, 5 April 2024 diff hist +496‎ Private:Uncorrelated Processes ‎No edit summary
01:2401:24, 5 April 2024 diff hist +1,039‎ N Private:Uncorrelated Processes ‎ Created page with "<math> \begin{align} && x(t) &= A \cos(\omega_0 t + \varphi) \\ && y(t) &= B \sin(n \omega_0 t + n \varphi + \psi)\\ &\implies & x(t)y(t) &= AB \cos(\omega_0 t + \varphi) \sin(n (\omega_0 t + \varphi) + \psi) \\ &\implies & x(t)y(t) &= AB \cos(a) \sin(na + \psi) \\ &\implies & x(t)y(t) &= AB \frac{\sin(a + \psi + a) + \sin(na + \psi - a)}{2} \\ &\implies & x(t)y(t) &= AB \frac{\sin((n+1)(\omega_0 t + \varphi) + \psi) + \sin((n-1)(\omega_0 t + \varphi) + \psi )}{2} \\ &\..."

15:4815:48, 3 April 2024 diff hist +15‎ C++ ‎ →‎Functional Programming
15:4815:48, 3 April 2024 diff hist +318‎ C++ ‎ →‎Functional Programming
15:4515:45, 3 April 2024 diff hist +27‎ C++ ‎ →‎Functional Programming
15:0115:01, 3 April 2024 diff hist +10‎ C++ ‎ →‎std::unordered_map
15:0115:01, 3 April 2024 diff hist +104‎ C++ ‎ →‎std::unordered_map
14:1214:12, 3 April 2024 diff hist +11‎ Main Page ‎ →‎GPU Programming
14:0914:09, 3 April 2024 diff hist +301‎ N SYCL ‎ Created page with "[https://www.khronos.org/sycl/ SYCL] is a Khronos standard which aims to abstract parallel computing across different standards (OpenCL, Cuda, Rocm). ==AdaptiveCPP== [https://adaptivecpp.github.io/AdaptiveCpp/ AdaptiveCPP] is one implementation of SYCL which compiles to CPU, CUDA, ROCM, and OpenCL."
13:4913:49, 3 April 2024 diff hist +9‎ C++ ‎No edit summary

15:3215:32, 25 March 2024 diff hist +251‎ Logitech Keyboard Shortcuts ‎No edit summary current
15:2915:29, 25 March 2024 diff hist +53‎ N Logitech Keyboard Shortcuts ‎ Created page with "https://defkey.com/logitech-pop-keys-shortcuts#105067"
15:2615:26, 25 March 2024 diff hist +402‎ N Private:Fourier Transform of Neural Networks ‎ Created page with " ===Fourier Transform of SiLU=== <math display="block"> \begin{align} F(SiLU(f(x))) &= F\left(f(x)\frac{1}{1 + e^{-f(x)}}\right) \\ &= F(f(x)) * F\left(\frac{1}{1 + e^{-f(x)}}\right) \end{align} </math> <math display="block"> \begin{align} F \left(\frac{1}{1 + e^{-f(x)}}\right) &= F\left(\sum_{k=0}^{\infty} (-1)^ke^{-kf(x)}\right) \\ &= \sum_{k=0}^{\infty} (-1)^k F(e^{-kf(x)}) \end{align} </math>"
15:1615:16, 25 March 2024 diff hist −192‎ Private:Math Test ‎No edit summary current
15:1415:14, 25 March 2024 diff hist +223‎ Private:Math Test ‎No edit summary

16:1016:10, 15 March 2024 diff hist −24‎ Private:Math Test ‎ →‎Fourier Transform of SiLU
16:0816:08, 15 March 2024 diff hist +396‎ Private:Math Test ‎No edit summary
16:0116:01, 15 March 2024 diff hist +26‎ N Private:Math Test ‎ Created page with "Private math scratch notes"
15:1215:12, 15 March 2024 diff hist +192‎ Stable Diffusion ‎ →‎Architecture current
15:0615:06, 15 March 2024 diff hist +62‎ Activation Functions ‎ →‎GeLU current
15:0615:06, 15 March 2024 diff hist +711‎ N Activation Functions ‎ Created page with "List of common activation functions ==Sinusoidal== ===Tanh=== One of the older activation functions ===Sigmoid=== ===Cosine/Sine=== See [https://proceedings.neurips.cc/paper/2020/hash/53c04118df112c13a8c34b38343b9c10-Abstract.html SIREN] ==ReLU== https://pytorch.org/docs/stable/generated/torch.nn.ReLU.html ReLU is one of the most popular activation functions. It simply performs <math>ReLU(x) = max(x, 0) = (x > 0) * x</math> ===LeakyReLU=== https://pytorch.org/docs..."
14:5514:55, 15 March 2024 diff hist +234‎ Stable Diffusion ‎ →‎Stable Diffusion 1

20:3520:35, 8 March 2024 diff hist +44‎ Diffusion Models ‎ →‎Resources current
16:1116:11, 8 March 2024 diff hist +71‎ Stable Diffusion ‎ →‎Stable Diffusion Turbo
16:1116:11, 8 March 2024 diff hist +4‎ Stable Diffusion ‎ →‎Stable Diffusion Turbo
16:1016:10, 8 March 2024 diff hist +2,023‎ N Stable Diffusion ‎ Created page with "Notes on the different versions of Stable Diffusion from what I can find online. ==Stable Diffusion 1== Stable diffusion consists of three main components * CLIP text encoder * VAE * UNet latent diffusion model The main difference between stable diffusion and other diffusion models is that the diffusion operations happens in a low-resolution latent space. For a 512x512 image, the latent may only be 64x64, a factor of 8 times smaller. This significantly reduces the comp..."

16:0516:05, 6 March 2024 diff hist +4‎ 3D Representations ‎ →‎Reconstruction current
16:0416:04, 6 March 2024 diff hist +535‎ N Surface Reconstruction ‎ Created page with "Surface reconstruction is the process of converting a point cloud into a mesh. ==Explicit Reconstruction== The idea here is to just connect the points to form triangles. ==Implicit Reconstruction== The idea here is to first estimate a signed distance field from the point cloud and then do marching cubes to generate a mesh. ==Resources== * [https://www.hao-li.com/cs599-ss2015/slides/Lecture06.2.pdf Hao Li lecture slides] * [https://graphics.stanford.edu/papers/zipper/..." current

22:0122:01, 29 February 2024 diff hist +80‎ N Mamba (machine learning model) ‎ Created page with "See https://maartengrootendorst.substack.com/p/a-visual-guide-to-mamba-and-state" current
16:3716:37, 29 February 2024 diff hist −4‎ Cloud Providers ‎ →‎Big sizes
16:3616:36, 29 February 2024 diff hist +54‎ Cloud Providers ‎ →‎Big sizes
16:3516:35, 29 February 2024 diff hist +124‎ Cloud Providers ‎ →‎Medium sizes
16:3316:33, 29 February 2024 diff hist +519‎ N Cloud Providers ‎ Created page with "List of common cloud providers ==Big sizes== Use these for professional applications * Amazon Web Services (AWS) * Microsoft Azure * Google Cloud Platform (GCP) * Oracle Cloud ==Medium sizes== These are reputable cloud providers, good for self-hosted use cases. * Hetzner * Akamai Linode ==Storage== All the big cloud providers offer storage. These are additional options for different purposes. ===Object Storage=== ;Backups * Backblaze B2 * Wasabi ;Heavy Egress * Clou..."