PDF AI readers

[1] Use GPT to read PDF files https://www.popai.pro/

[2] More general https://www.chatpdf.com

Firefox open multiple private window

 

 

/opt/firefox/firefox-bin --profile $(mktemp -d) --private-window www.google.com www.bing.com
 

AI Applications for Draw

 

 

[1] Swap face (Adapt face shape to target) https://www.artguru.ai #Use anonymous windows

      Same core than previous line https://www.pica-ai.com/

[2] Swap face pose https://faceswapper.ai/swapper  #Free 10 by day (Works good with 3/4 face)

[3] Swap free 8 times/day https://www.vidnoz.com/face-swap.html #Check by IP, PW

[4] Swap free 8 times/day https://www.miocreate.com/face-swap.html  #Check by IP, PW

[5] https://www.ismartta.com/ #Check by IP,  works more time in private window

 

Compose

[1] Replace hair style https://picsart.com/ai-replace/

Nvidia Metrics and more

 

[1] Times by cuda https://developer.nvidia.com/blog/how-implement-performance-metrics-cuda-cc/

[2] GPU Code https://http.download.nvidia.com/developer/GPU_Gems/CD_Image/Index.html 

[3] Fluid in GPU theory https://developer.nvidia.com/gpugems/gpugems/part-vi-beyond-triangles/chapter-38-fast-fluid-dynamics-simulation-gpu

[4] GPU Computing https://researchcomputing.princeton.edu/support/knowledge-base/gpu-computing


Cards 

[1] Guide https://www.nvidia.com/content/geforce-gtx/GEFORCE_RTX_2070_SUPER_User_Guide.pdf

[2] RTX 2070 Techinal summary  https://www.techpowerup.com/gpu-specs/geforce-rtx-2070-super.c3440

Important notes

* CUDA technology is developed by NVIDIA, and it is primarily designed to work with NVIDIA GPUs. CUDA is a parallel computing platform and application programming interface model that allows developers to use NVIDIA GPUs for general-purpose processing.

AMD has its own equivalent technology called OpenCL (Open Computing Language), which is an open standard for parallel programming of heterogeneous systems. OpenCL is not specific to AMD; it is supported by various vendors, including AMD, Intel, and others.

If you have an AMD GPU and want to leverage its parallel processing capabilities, you would typically use OpenCL rather than CUDA. However, it's important to note that not all software applications support both CUDA and OpenCL. The level of support depends on how the software was developed.

 * CUDA technology is specific to NVIDIA GPUs (Graphics Processing Units), and it cannot be used with AMD GPUs. CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA for their GPUs. It includes a programming interface and software development kit (SDK) for general-purpose computing on NVIDIA GPUs.

On the other hand, AMD uses a different technology called OpenCL (Open Computing Language) for parallel computing across CPUs, GPUs, and other processors. OpenCL is an open standard maintained by the Khronos Group, and it is designed to be vendor-neutral, allowing developers to write code that can run on different hardware platforms, including AMD GPUs. For getting information about CAD Drafting and designing visit CAD Drafter.

If you have an AMD GPU and you are looking to perform GPU-accelerated computing, you would generally use OpenCL or other AMD-specific technologies like ROCm (Radeon Open Compute). CUDA-based applications are not compatible with AMD GPUs, and vice versa.

It's worth noting that some software applications and libraries support both CUDA and OpenCL, allowing users to choose between NVIDIA and AMD GPUs. However, the underlying GPU-specific code would need to be implemented separately for CUDA and OpenCL.

* in 2024 it is possible to run CUDA code in AMD GPUs

https://github.com/vosen/ZLUDA

* Is CUDA faster than MPI?

CUDA is fast, but only if your do a lot of parallel processing on matrices. CUDA can be very fast, but for some kind of applications. Data transfer in CUDA is often the bottleneck. MPI is suitable for cluster environment and large scale network of computers.

 

 

References

[1] NVidia Pascal https://wccftech.com/nvidia-pascal-gpu-gtc-2015/

[2] https://community.amd.com/t5/ai-discussions/is-it-possible-to-use-cuda-technology-with-amd/td-p/643124

Animation online

Sketch to animation

[1] https://sketch.metademolab.com/

 

Animate avatar from audio recorded

 

[1] https://new.express.adobe.com/tools/animate-from-audio

Online Machine Learning tools

 

 Multiclass Image Classification

https://teachablemachine.withgoogle.com/train/image

Series Online

[1] Spanish  https://elnovelerovariadito.com/el-senor-de-los-cielos-sus-comienzos-t-1/

[2]

 

Corean 

[1] https://pandrama.app

[2] https://doramashd.com 

[3] https://doramason.com/pais/corea-del-sur/

AI Animation

Draw to 3D https://monstermash.zone/

 https://econ3d.com/en/

https://www.csm.ai/

https://dreamgaussian.github.io/

Diffusion

Text to image https://ideogram.ai

 

Filters

Image to Image https://www.seaart.ai/ai-tools/ai-filter

Leonardo https://app.leonardo.ai/ai-generations

Speech

Antoni/Adam/Thomas(soft) https://elevenlabs.io/speech-synthesis

Video editor online

 

[1] Loop 5x/Crop/Resolution https://online-video-cutter.com/loop-video

[2] Extract mp3/Resolution https://video-converter.com

[3] Replace audio https://www.onlineconverter.com/add-audio-to-video

Windows Server 2019

Quitar mensaje de error al acceder al panel de idioma 

1. Ejecuta secpol.msc 

2. Habilita la siguiente directiva - Directivas locales - Opciones de seguridad - Control de cuentas de usuario: Modo de aprobación de administrador para la cuenta predefinida Administrador

Add audio track to mp4

 

 

ffmpeg -i badges-of-fury-2013-watch-hd-freedownloadvideo.net.mp4 -i badges-of-fury-2013-watch-hd-freedownloadvideo.net
.mp3 -map 0 -map 1 -codec copy output_video.mp4   

ffmpeg -i badges-of-fury-2013-watch-hd-freedownloadvideo.net.mp4 -itsoffset 00:00:24 -i badges-of-fury-2013-watch-hd-f
reedownloadvideo.net.mp3 -map 0 -map 1 -codec copy badges_output_video.mp4


References:

[1] https://stackoverflow.com/questions/11779490/how-to-add-a-new-audio-not-mixing-into-a-video-using-ffmpeg

[2] https://superuser.com/questions/708125/add-audio-at-specific-time-in-video-using-ffmpeg

[3] Extract mp3 from youtube https://tuberipper.com

[4] Download mp4 from dailymotion https://freedownloadvideo.net

Investments

 

[1] Perú Plazo Fijo https://andina.pe/agencia/noticia-guerra-bancos-2023-mira-cuales-pagan-mayores-tasas-depositos-a-plazos-900339.aspx

Arcade Games Linux

 

Snes9x

sudo apt install flatpak
flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepo

flatpak install flathub com.snes9x.Snes9x 

ZSNES is a Super Nintendo Emulator that can run on Windows, Linux, FreeBSD, and DOS. It runs as a GUI interface where you can load ROM of NES games.

sudo apt install zsnes

higan is an emulator for Nintendos SNES, NES, Gameboy, Gameboy Color, and Gameboy Advance. It was formerly called bsnes and the SNES emulation is especially complete and polished.

sudo apt install higan 

 

References:

https://www.debugpoint.com/3-nes-emulators-to-play-old-nes-games-in-linux/

 

Graph tools

 

𝐓𝐨𝐨𝐥𝐬 𝐭𝐨 𝐦𝐚𝐢𝐧𝐥𝐲 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐞 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬:
- Geph - https://gephi.org
- Gephisto- https://lnkd.in/diSp3BWN
- VOSviewer - https://www.vosviewer.com
- Cytoscape - https://cytoscape.org
- Kumu - https://kumu.io
- GraphInsight - https://lnkd.in/d5XnkWJr
- NodeXL - https://nodexl.com
- Orange - https://lnkd.in/dZU8Zx3D
- Graphia - https://graphia.app
- Graphistry - https://www.graphistry.com
- SocNetV - https://socnetv.org
- Tulip - https://lnkd.in/dtc_BD33


𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧:
- networkx - https://lnkd.in/dKCCXjif
- graphviz - https://lnkd.in/dtrTeqRv
- pydot - https://lnkd.in/dA46YZvy
- python-igraph - https://lnkd.in/dCGsRXh2
- pyvis - https://lnkd.in/dVrQ64nN
- ipycytoscape - https://lnkd.in/d-hJjDdG
- pygsp - https://lnkd.in/dS7s-A_v
- graph-tool - https://lnkd.in/dvytUzdu
- nxviz - https://lnkd.in/duHbKGPN
- py2cytoscape - https://lnkd.in/dWUU8TZH
- ipydagred3 - https://lnkd.in/diXgFWMD
- ipysigma - https://lnkd.in/dP55J5et
- Py3Plex - https://lnkd.in/dhwe7f_g
- net wulf - https://lnkd.in/dxrHAm2P
 

Render tools - POV Ray

Compiling

https://github.com/POV-Ray/povray/releases/tag/v3.8.0-beta.2 

configure error: Could not link against boost_

sudo apt-get install libboost-all-dev

Update Gimp

From 2.8 to 2.10 using apt-get

$ sudo add-apt-repository ppa:otto-kesselgulasch/gimp

$ sudo apt-get update

$ sudo apt-get install gimp

 

References:

https://linuxhint.com/install_gimp_210_ubuntu_1804/

ASNetwork : Breaking ambiguity

 

 

[1] Salient Object Detection Driven by Fixation Prediction https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Salient_Object_Detection_CVPR_2018_paper.pdf

[2] Action Schema Networks https://ipc2023-learning.github.io/abstracts/asnets.pdf

Volume Fractions

Thesis

[1] Smooth Interface Reconstruction from Volume Fraction Data Using Variational
Techniques and Level Set Methods

https://escholarship.org/content/qt2466j56f/qt2466j56f_noSplash_4c9dcb1c6cacafb1bcdc4a7bab220630.pdf?t=odypru

 

Volume Fractions in Rectangular Grids

Analytical Relations Connecting Linear Interfaces and Volume Fractions in Rectangular Grids
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.536.848&rep=rep1&type=pdf
[1] Markers - A front-tracking algorithm for accurate representation of surface tension (Zaleski)
https://hal.archives-ouvertes.fr/hal-01445441/document



[2] Level Set Methods (LSM)
[2.1] Tutorial Level Set vs Marching Methods https://math.berkeley.edu/~sethian/2006/Explanations/level_set_explain.html

[2.2-1] Part I (Def) https://wiseodd.github.io/techblog/2016/11/05/levelset-method/
[2.2-2] Part II(Application for segmentation) https://wiseodd.github.io/techblog/2016/11/20/levelset-segmentation/

Deep Gan Applications

Super Resolution

[0] https://replicate.com/collections/super-resolution 

[1] https://replicate.com/nightmareai/real-esrgan  /require github account

[2] https://replicate.com/mv-lab/swin2sr (alternative) 

[3] Nightmare https://www.nightmare-ai.com/playground

Styles

[1] https://replicate.com/collections/ml-makeovers 

Restoration

[1] 5byday https://www.restorephotos.io/restore  (based on replicate)

[2] https://replicate.com/collections/image-restoration

[3] https://replicate.com/microsoft/bringing-old-photos-back-to-life

Frequence space ( Source codes )

References:

[1] Elliptic Harmonics http://www.cs.utah.edu/~jfishbau/advimproc/project3/



Resources:
 0) Discrete Fourier Transform 1D, source code c/c++/java/python and more https://www.nayuki.io/page/how-to-implement-the-discrete-fourier-transform
1) Discret Sine Tranform  https://people.sc.fsu.edu/~jburkardt/cpp_src/sine_transform/sine_transform.html
  1.1) Python version http://www-personal.umich.edu/~mejn/computational-physics/dcst.py

2) Haar Wavelet compression https://people.math.osu.edu/husen.1/teaching/wi2010/572/572.html

3) Fast Fourier Tranform 1d/2d http://www.kurims.kyoto-u.ac.jp/~ooura/fft.html
4) Elliptic Fourier Transform source code python https://github.com/hbldh/pyefd
5) Spatial Elliptical Fourier Descriptors python https://spatial-efd.readthedocs.io/en/latest/raster_link.html 

6) Morphometric in R https://github.com/MomX/Momocs/