natural-gradients

There are 0 repository under natural-gradients topic.

ikostrikov / pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch reinforcement-learning deep-learning deep-reinforcement-learning actor-critic advantage-actor-critic a2c ppo proximal-policy-optimization acktr second-order hessian natural-gradients atari mujoco roboschool continuous-control kfac kronecker-factored-approximation ale
Language:Python 3485
stanfordmlgroup / ngboost
Natural Gradient Boosting for Probabilistic Prediction
machine-learning gradient-boosting natural-gradients uncertainty-estimation ngboost python
Language:Python 1590
AugmentedGaussianProcesses.jl
theogf / AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, sparsity and natural gradients
classification gaussian gaussian-processes gpc gps julia natural-gradients process svm
Language:Julia 133
awesome-information-geometry
nocotan / awesome-information-geometry
About A collection of AWESOME things about information geometry Topics
fisher-information fisher-information-matrix information-geometry machine-learning natural-gradients
76
pomonam / NoisyNaturalGradient
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
natural-gradients bayesian-neural-networks bayesian-inference variational-inference
Language:Python 60
gd-zhang / noisy-K-FAC
Natural Gradient, Variational Inference
bayesian-inference bayesian-neural-networks natural-gradients variational-inference uncertainty-estimation
Language:Python 28
ehknight / natural-gradient-deep-q-learning
reinforcement-learning q-learning natural-gradients
Language:Shell 22
gd-zhang / ACKTR
Actor Critic using Kronecker-Factored Trust Region
actor-critic-methods natural-gradients reinforcement-learning
Language:Python 19
nomuramasahir0 / crfmnes
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
cma-es evolution-strategies evolution-strategy natural-gradients natural-evolution-strategies black-box-optimization
Language:Python 16
Feuermagier / Beyond_Deep_Ensembles
Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
bayes-by-backprop bayesian-deep-learning bayesian-inference deep-ensembles natural-gradients out-of-distribution pytorch stein-variational-gradient-descent svgd swag wilds
Language:Jupyter Notebook 14
Ankur-Deka / Machine-Learning-Notebooks
Simple Experiments mainly on Machine Learning
bayesian-inference deep-learning gaussian-processes machine-learning natural-gradients probability pytorch variational-autoencoder
Language:Jupyter Notebook 6
hiili / rlcc
High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)
reinforcement-learning matlab cpp actor-critic tetris natural-gradients
Language:MATLAB 5
yorkerlin / StructuredNGD-DL
Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
kfac natural-gradients optimization-methods optimizer pytorch-implementation second-order-optimization fisher deep-learning hessian-free
Language:Python 4
nomuramasahir0 / cec2023-tutorial
(CEC2023 Tutorial) Foundations and Recent Advances on Natural Evolution Strategies
evolution-strategies natural-evolution-strategies natural-gradients
Language:Jupyter Notebook 2
nomuramasahir0 / xnes-adaptive-lr
(EvoApps2022) "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies"
evolution-strategies natural-gradients cma-es evolution-strategy natural-evolution-strategies
Language:Python 2
andreofner / PredProp
Approximate Natural Gradient Descent with precision weighted predictive coding
predictive-coding predictive-processing natural-gradients variational-inference
Language:Python 0
erfanloghmani / Convex-Optimization-Project
Project definition and implementations for Convex Optimization Course
classification convex-optimization-algorithms logistic-regression natural-gradients newton-method notebooks svrg
Language:HTML 0
JakobHavtorn / Master-Thesis
My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark
deep-learning deep-reinforcement-learning gradient-descent machine-learning natural-gradients probability-distributions python pytorch sampling-methods variance-reduction variational-method
Language:TeX
SuperbTUM / Faster-Distributed-Training
Faster large mini-batch distributed training w/o. squeezing devices
apex fusion onnx-runtime distributed-training mixup natural-gradients fairscale
Language:Python