mfleiym Goto Github PK

algorithms

for algorithm implementation and testing.

annotated-transformer

An annotated implementation of the Transformer paper.

book-mathmatical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

data-efficient-reinforcement-learning-with-probabilistic-model-predictive-control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

deepbsde

Deep BSDE solver in TensorFlow

digital_twin_2022

Digital twin of nonlinear system based on reservoir computing (RC) with an external driving

lorenz_dl

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

morvanzhou.github.io

莫烦Python Website source code

ng-rc-paper-code

Code for the paper "Next Generation Reservoir Computing"

nn_physical_concepts

openfermion-cirq

Quantum circuits for simulations of quantum chemistry and materials.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

practicalai

A practical approach to learning machine learning.

predicting_rare_events_multiscale_systems

project_chimera_ml

Characterization of Chimera using Machine Learning

pyks

data assimilation for the 1-d Kuramoto-Sivashinsky equation

reinforcement-implementation

Implementation of benchmark RL algorithms

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reservoir-computer-network-inference

A code to apply reservoir computer to infer short-term causal dependence in a dynamical systems and network links from time-series data

reservoir-computing-lyapunov-exponents

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.org/10.1063/1.5010300

rlnn

Reinforcement learning with artificial neural networks in python

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

sdeint

Numerical integration of Ito or Stratonovich SDEs

sindy-mpc

sindy-pi

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

xgi

CompleX Group Interactions (XGI) is a Python package for higher-order networks.