PDillis
Physicist and applied mathematician, now pursuing a PhD. at the Computer Vision Center in Barcelona.
Computer Vision CenterBarcelona
PDillis's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
yangshun/tech-interview-handbook
๐ฏ Curated coding interview preparation materials for busy software engineers
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
facebookresearch/DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
HVision-NKU/StoryDiffusion
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
idealo/imagededup
๐ Finding duplicate images made easy!
pytorch/captum
Model interpretability and understanding for PyTorch
openai/transformer-debugger
eliahuhorwitz/Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
cambrian-mllm/cambrian
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
czczup/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
autonomousvision/stylegan-t
[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
tanelp/tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
jonbarron/robust_loss_pytorch
A pytorch port of google-research/google-research/robust_loss/
aharley/pips
Particle Video Revisited
Newbeeer/pfgmpp
Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"
srush/Transformer-Puzzles
Puzzles for exploring transformers
pvigier/perlin-numpy
A fast and simple perlin noise generator using numpy
JoaoLages/diffusers-interpret
Diffusers-Interpret ๐ค๐งจ๐ต๏ธโโ๏ธ: Model explainability for ๐ค Diffusers. Get explanations for your generated images.
minyoungg/pix2latent
Code for: Transforming and Projecting Images into Class-conditional Generative Networks
enkeejunior1/Diffusion-Pullback
Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)
moi90/pytorch_compute_capabilities
rll-research/sim2seg
Implementation of Sim2Seg (John So*, Amber Xie*, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali-akbar Agha-mohammad, Pieter Abbeel, Stephen James)
ethansmith2000/StableTwoUnet
AhmedImtiazPrio/MaGNET
Official repository for MaGNET, ICLR 2022
nreHieW/loss
Visualising Losses in Deep Neural Networks