ManuelLecha

ChatDev

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

vision_transformer

super-productivity

Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, Gitlab, GitHub and Open Project.

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

awesome-mlss

🤖 Machine Learning Summer School deadlines

POT

POT : Python Optimal Transport

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

multiface

Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.

awesome-graph-transformer

Papers about graph transformers.

HumanML3D

HumanML3D: A large and diverse 3d human motion-language dataset.

visprog

Official code for VisProg (CVPR 2023 Best Paper!)

I-JEPA

Implementation of I-JEPA from "Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture"

awesome-flow-matching

A summary of related works about flow matching, stochastic interpolants

Awesome-Optimal-Transport-in-Deep-Learning

a collection of AWESOME things about Optimal Transport in Deep Learning

riemannian-fm

code for "Riemannian Flow Matching on General Geometries".

FoldFlow

FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation

Generative-Diffusion-Models-on-Graphs

GraphFormers

directed-graph-neural-network

Dir-GNN is a machine learning model that enables learning on directed graphs.

Awesome-Graph-Research-ICLR2024

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

HyperbolicNF

ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows

hodgelaplacians

Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks

lagrangian-ot

Neural Optimal Transport with Lagrangian Costs

HiGCN

pyflagser

Python bindings and API for the flagser C++ library (https://github.com/luetge/flagser).

Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks

The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024