René's URL Explorer Experiment


Title: Jere's web

Open Graph Title: Hello there, I am Jeronim Matijević

X Title: Hello there, I am Jeronim Matijević

Description: Figure 1. Jeronim with his 1070TI GPU, that has fans from aliexpress that don’t really fit so he has to reapply the duct tape every now and then.

Open Graph Description: Figure 1. Jeronim with his 1070TI GPU, that has fans from aliexpress that don’t really fit so he has to reapply the duct tape every now and then.

Mail addresses
"jeronim96@gmail.com"

Opengraph URL: https://jere357.github.io/

Generator: Jekyll v3.10.0

direct link

Domain: jere357.github.io

Hey, it has json ld scripts: 
{"@context":"https://schema.org","@type":"WebSite","description":"Figure 1. Jeronim with his 1070TI GPU, that has fans from aliexpress that don’t really fit so he has to reapply the duct tape every now and then.","headline":"Hello there, I am Jeronim Matijević","name":"jere357","publisher":{"@type":"Organization","logo":{"@type":"ImageObject","url":"https://jere357.github.io/assets/img/ja.jpeg"}},"url":"https://jere357.github.io/"}
NoneIE=edge
og:localeen_US
og:site_namejere357
og:typewebsite
twitter:cardsummary

Links:

Githubhttps://www.github.com/jere357
Huggingfacehttps://www.huggingface.co/Cropinky
My CVhttps://jere357.github.io/assets/cv/Jeronim_Matijevic_cv.pdf
My ML Bloghttps://jere357.github.io/blog_index.html
Scalable Diffusion Models with Transformershttps://docs.google.com/presentation/d/1bCiwA0i3xxZHzfcfa4xZ_ucZLB-g0UgMOdkIkirgkX8/edit?usp=sharing
FreeU : Free Lunch in Diffusion U-Nethttps://docs.google.com/presentation/d/14Xl68rPJup2o461CtpiDwWgRvmkinzXZz1Z7TF5m_Nc/edit?usp=sharing
SIGLIP2https://docs.google.com/presentation/d/1L-kZ2orTdKOQeEVIoLWHOwjJqJf3LbAOCwb9Vw_DujY/edit?usp=sharing
Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolutionhttps://docs.google.com/presentation/d/12hIt-pyaQhsy7uO6EfFKp7XDIXLC1pZ2xT65XscX-38/edit?usp=sharing
On Layer Normalization in the Transformer archhttps://docs.google.com/presentation/d/1DHuV7Pl2xt8QaAEdtg3i8rQOek955NXLehNNdG90q3s/edit?usp=sharing
Sigmoid Loss for Language Image Pre-Traininghttps://docs.google.com/presentation/d/1R59ojLYC4cEID0DN9mfshcYR0sJa9wNwbTtljCX6_Hw/edit?usp=sharing
wtF are NeRFs?https://docs.google.com/presentation/d/1oIZTKTSz7aFHnwCLi9jz3cN3LDLKccZiHjNuqeD-yYs/edit?usp=sharing
Are we done with Imagenet?https://docs.google.com/presentation/d/119arKlu708UpmQCK3TaGVnu4mwoyDIVPF6DLDVlAJt8/edit?usp=sharing
Demystifying CLIP Datahttps://docs.google.com/presentation/d/1koXM_Y52CNNWPI7c6naL9gwoPqvV-IHa22kMN3LavV0/edit?usp=sharing
EMO: Emote Portrait Alivehttps://docs.google.com/presentation/d/1GAXjvOGJ3H7kQy-B2FDMQd09vNKVpQ1LBxqDBAEGxFU/edit?usp=sharing
Lottery ticket hypothesis, but actually the Han et al. pruning paperhttps://docs.google.com/presentation/d/1o908FlzGE0InSQPqUMgLarzujLVEp5lXjuq4qggCKsE/edit?usp=sharing
Dreamboothhttps://docs.google.com/presentation/d/1mnwzmGJhGYygE8rrRK8feUJd4PdzHKAE7OLm78Gbfvs/edit?usp=sharing
Masked Autoencodershttps://docs.google.com/presentation/d/1LE92h1_r6c-MgxlPfZHtqVNlU3oj63pJTSHLOPNw_DU/edit?usp=sharing
Very good + free computer vision “basics” lectures from the University of Columbiahttps://fpcv.cs.columbia.edu/
MIT course on python, very good course + materialhttps://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/
Most understandable material on LSTMshttps://colah.github.io/posts/2015-08-Understanding-LSTMs/
Letitia making youtube videos about ML papershttps://www.youtube.com/@AICoffeeBreak/videos
Yannic making youtube videos about ML papershttps://www.youtube.com/@YannicKilcher/videos
Károly making youtube videos about ML papershttps://www.youtube.com/@TwoMinutePapers/videos
Must read Karpathy blog on RNNshttps://karpathy.github.io/2015/05/21/rnn-effectiveness/
Zero to Hero Karpathy videoshttps://karpathy.ai/zero-to-hero.html
Funny loss functions bloghttps://lossfunctions.tumblr.com/
Comparisons of recent nvidia GPUs for deep learninghttps://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/
nvidia-smi blogposthttps://www.microway.com/hpc-tech-tips/nvidia-smi_control-your-gpus/
blogpost about demystifying RAM usage in multiprocess pytorch dataloadershttps://ppwwyyxx.com/blog/2022/Demystify-RAM-Usage-in-Multiprocess-DataLoader/
Spark of AGI talk by Sebastian Bubeckhttps://youtu.be/qbIk7-JPB2c
picturehttps://jere357.github.io/assets/img/addlayers.jpg
manimhttps://www.manim.community/
dingboardhttps://dingboard.com/
jspainthttps://jspaint.app
Very important researchhttps://oneweirdkerneltrick.com/
Vaiskohttps://www.vaisko.com
Smile.riphttps://smile.rip/
marulianus.hrhttp://marulianus.hr
Auralnautshttps://youtu.be/WSCm8yAxBr8
programemezzzhttps://instagram.com/programemezzz
How i sometimes feel about ML researchhttps://jere357.github.io/assets/img/mrfantastic.png
Have you tried using ffmpeg?https://youtu.be/9kaIXkImCAM
The informaticar starog kova bloghttps://web.archive.org/web/20181122181144/http://informaticar.eu/glup-gluplji-quark/
bookhttps://bit.ly/3r6hRLZ

Viewport: width=device-width, initial-scale=1

URLs of crawlers that visited me.