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The repository for the course "Machine Learning in Drug Design" at the Jagiellonian University in 2026. The page is hosted by the machine learning research group GMUM.
automated censorship evasion for the client-side and server-side
Representation learning on large graphs using stochastic graph convolutions.
The ultimate training toolkit for finetuning diffusion models
🤗 smolagents: a barebones library for agents that think in code.
The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the…
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official inference repo for FLUX.1 models
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A latent text-to-image diffusion model
Inpaint anything using Segment Anything and inpainting models.
"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.
[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
[SIGGRAPH Asia 2025 (ACM TOG)] AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[ICCV 2025] VistaDream: Sampling multiview consistent images for single-view scene reconstruction
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
prezentacja z uczenia głębokich sieci temat tomografia komputerowa
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Knowledge-Sharing-Seminars / miniproject-example-FBI223
Forked from Knowledge-Sharing-Seminars/2025-2026-uczenie-reprezentacji-zima-miniproject-example-renderowanie-...2025-2026-uczenie-reprezentacji-zima-miniproject-example-renderowanie-neuronowe-w-grafice-3d-example created by GitHub Classroom