natural-gradients

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ikostrikov /pytorch-a2c-ppo-acktr-gail

Star3.7k

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).

reinforcement-learning deep-learning deep-reinforcement-learning pytorch atari hessian second-order continuous-control actor-critic ale mujoco proximal-policy-optimization ppo advantage-actor-critic a2c acktr natural-gradients roboschool kfac kronecker-factored-approximation

UpdatedMay 29, 2022
Python

stanfordmlgroup /ngboost

Star1.7k

Natural Gradient Boosting for Probabilistic Prediction

python machine-learning uncertainty-estimation gradient-boosting natural-gradients ngboost

UpdatedMar 21, 2025
Python

nocotan /awesome-information-geometry

Star156

About A collection of AWESOME things about information geometry Topics

machine-learning natural-gradients fisher-information fisher-information-matrix information-geometry

UpdatedJul 4, 2024

theogf /AugmentedGaussianProcesses.jl

Star135

Gaussian Process package based on data augmentation, sparsity and natural gradients

julia svm gps process gaussian classification gaussian-processes gpc natural-gradients

UpdatedApr 8, 2024
Julia

pomonam /NoisyNaturalGradient

Star60

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

bayesian-inference variational-inference bayesian-neural-networks natural-gradients

UpdatedJan 12, 2019
Python

gd-zhang /noisy-K-FAC

Star29

Natural Gradient, Variational Inference

bayesian-inference uncertainty-estimation variational-inference bayesian-neural-networks natural-gradients

UpdatedJan 13, 2020
Python

ehknight /natural-gradient-deep-q-learning

Star22

reinforcement-learning q-learning natural-gradients

UpdatedOct 7, 2018
Shell

Feuermagier /Beyond_Deep_Ensembles

Star22

Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

pytorch bayesian-inference swag bayesian-deep-learning natural-gradients bayes-by-backprop svgd out-of-distribution wilds deep-ensembles stein-variational-gradient-descent

UpdatedOct 18, 2023
Jupyter Notebook

gd-zhang /ACKTR

Star19

Actor Critic using Kronecker-Factored Trust Region

reinforcement-learning actor-critic-methods natural-gradients

UpdatedJul 3, 2018
Python

nomuramasahir0 /crfmnes

Star18

(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems

black-box-optimization evolution-strategy evolution-strategies natural-gradients cma-es natural-evolution-strategies

UpdatedNov 16, 2023
Python

hiili /rlcc

Star8

High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)

reinforcement-learning cpp tetris matlab actor-critic natural-gradients

UpdatedOct 12, 2017
MATLAB

Ankur-Deka /Machine-Learning-Notebooks

Star6

Simple Experiments mainly on Machine Learning

machine-learning deep-learning probability pytorch bayesian-inference gaussian-processes variational-autoencoder natural-gradients

UpdatedJan 23, 2025
Jupyter Notebook

yorkerlin /StructuredNGD-DL

Star4

Matrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning

deep-learning fisher optimizer optimization-methods natural-gradients kfac second-order-optimization hessian-free pytorch-implementation