ManuelLecha's Stars
OpenBMB/ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
johannesjo/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.
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
lucidrains/vector-quantize-pytorch
Vector (and Scalar) Quantization, in Pytorch
PythonOT/POT
POT : Python Optimal Transport
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
atong01/conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
wehos/awesome-graph-transformer
Papers about graph transformers.
EricGuo5513/HumanML3D
HumanML3D: A large and diverse 3d human motion-language dataset.
pymanopt/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
ehoogeboom/e3_diffusion_for_molecules
marlin-codes/Awesome-Hyperbolic-Representation-and-Deep-Learning
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
dongzhuoyao/awesome-flow-matching
A summary of related works about flow matching, stochastic interpolants
yuanqidu/awesome-graph-generation
VinAIResearch/LFM
Official PyTorch implementation of the paper: Flow Matching in Latent Space
changwxx/Awesome-Optimal-Transport-in-Deep-Learning
a collection of AWESOME things about Optimal Transport in Deep Learning
facebookresearch/riemannian-fm
code for "Riemannian Flow Matching on General Geometries".
DreamFold/FoldFlow
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
ChengyiLIU-cs/Generative-Diffusion-Models-on-Graphs
microsoft/GraphFormers
emalgorithm/directed-graph-neural-network
Dir-GNN is a machine learning model that enables learning on directed graphs.
azminewasi/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.
joeybose/HyperbolicNF
ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
facebookresearch/lagrangian-ot
Neural Optimal Transport with Lagrangian Costs
tsitsvero/hodgelaplacians
Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
AlgoMole/MolFM
Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
Yiminghh/HiGCN
giotto-ai/pyflagser
Python bindings and API for the flagser C++ library (https://github.com/luetge/flagser).
congliuUvA/Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks
The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024