gradient-flow

There are 2 repositories under gradient-flow topic.

google / neural-tangents
Fast and Easy Infinite Neural Networks in Python
bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics
Language:Jupyter Notebook 2227
sbyebss / variational_wgf
[ICML2022] Variational Wasserstein gradient flow
gradient-flow icml-2022
Language:Jupyter Notebook 20
clear-nus / DGflow
Pytorch implementation of DGflow (ICLR 2021).
generative-model generative-adversarial-network normalizing-flows variational-autoencoder iclr2021 gradient-flow iclr
Language:Python 17
jasper9000 / BEC_numeric
Numeric simulation of a 2D Bose Einstein condensate
bec bose-einstein-condensate ground-state gradient-flow
Language:Python 8
VITA-Group / GradientGCN
[NeurIPS 2022] Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again by Ajay Jaiswal*, Peihao Wang*, Tianlong Chen, Justin F Rousseau, Ying Ding, Zhangyang Wang
deep-gcns gradient-flow graph-neural-networks initialization
Language:Python 8
willp552 / DAE
Solver for differential algebraic equations
python3 scientific-computing differential-equations gradient-flow optimal-control dae differential-algebraic-equations
Language:Python 7
hanyas / wasserstein-flow-filter
Variational Filtering via Wasserstein Gradient Flow
gradient-flow kalman-filtering state-estimation state-space-models variational-inference wasserstein-distance
Language:Python 5
smaityumich / individual-fairness-testing
fairness-testing fairness-ml gradient-flow
Language:Jupyter Notebook 3
smithhenryd / NN-Kernel-and-Rich-Regimes
Senior Project for Statistics & Data Science at Yale University
deep-learning gradient-descent gradient-flow linear-regression neural-network neural-tangent-kernel optimization python tensorflow
Language:TeX 3
smithhenryd / Lazy-Training
Yale S&DS 432 final project studying lazy training dynamics for differentiable optimization problems
neural-networks deep-learning probability-statistics optimization gradient-descent gradient-flow neural-network neural-tangent-kernel
Language:TeX 1
bharatmahaur / LeNo
Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023
computer-vision convolutional-neural-networks deep-learning deep-neural-networks gradient-analysis gradient-flow gradient-norm leno-resnet norm-preservation optimization-stability residual-network resnet visual-recognition pytorch resnext wideresnet optimization-problem image-recognition imagenet
Language:Python 0
random-guest / Hessian-Free-Gradient-Flow-Algorithm
An optimization algorithm for deep neural networks.
armijo gradient-flow hessian-free deep-learning-optimizers
Language:MATLAB 0
ViktorAJStein / Regularized_f_Divergence_Particle_Flows
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
f-divergence gradient-flow mmd particle-flow regularization reproducing-kernel-hilbert-space rkhs wasserstein-gradient-flows sampling sampling-methods
Language:Python 0