CCcodecod's Stars
rtqichen/residual-flows
code for "Residual Flows for Invertible Generative Modeling".
jhjacobsen/invertible-resnet
Official Code for Invertible Residual Networks
5yearsKim/Conditional-Normalizing-Flow
Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
RameenAbdal/StyleFlow
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
chrischute/real-nvp
Implementation of Real NVP in PyTorch
jleuschn/cinn_for_imaging
Conditional Invertible Neural Networks for Medical Imaging
vislearn/FrEIA
Framework for Easily Invertible Architectures
barkain/DeepAndCrossNetwork
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
jambo6/online-neural-cdes
Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
patrick-kidger/signatory
Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
patrick-kidger/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
patrick-kidger/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
vartikagpt10/Stock-Prediction-using-Neural-ODE-and-Neural-SDE
YuliaRubanova/latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
yantijin/dynamic-systems-DL
Collection of resources that combine dynamic systems, control with deep learning.
2prime/ODE-DL
Paper List For Linking ODE and Deep Learning
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.