List of papers studying machine learning through the lens of category theory
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Re...
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation a...
CVPR 2024 论文和开源项目合集
POT : Python Optimal Transport
Deep Learning Architecture Genealogy Project
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure re...
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and...
A curated list of applied machine learning and data science notebooks and libraries across differ...
Enabling easy statistical significance testing for deep neural networks.
MiniSora: A community aims to explore the implementation path and future development direction of...
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
DALL·E Mini - Generate images from a text prompt
ICLR 2024 论文和开源项目合集