• Stars
    star
    5
  • Rank 2,847,109 (Top 57 %)
  • Language
    Python
  • License
    MIT License
  • Created about 2 years ago
  • Updated about 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Simulated annealing for neural networks with JAX.

More Repositories

1

PyTorchRelevancePropagation

A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
Python
75
star
2

CppMultilayerPerceptron

A simple class for fully connected neural networks.
C++
10
star
3

LayerwiseRelevancePropagation

A basic implementation of the Layer-wise Relevance Propagation algorithm in Tensorflow.
Python
7
star
4

TicTacToe

Environment equipped with reinforcement learning algorithms to train agents to play tic-tac-toe.
Python
6
star
5

RealTimeRelevancePropagation

An implementation for real time layer-wise relevance propagation using OpenCV and Tensorflow.
Python
4
star
6

SpaceDrones

A simple learning environment with space drones for evolution-inspired optimization.
Python
4
star
7

NeuralGrid

A grid-based neural network architecture.
Python
3
star
8

PyDualNumber

Basic implementation of dual numbers in Python.
Python
2
star
9

VanillaTreeSPH

A simple smoothed-particle hydrodynamics code that uses a tree algorithm to find neighbour particles.
C
2
star
10

MinMixer

A minimal MLP-Mixer architecture for image classification.
Python
1
star
11

MathLang

Investigate the capabilities of neural networks to process mathematical expressions.
Python
1
star
12

NeuroEvolution

A hybrid optimization algorithm that combines gradient descent for network parameter optimization and an evolutionary algorithm for network topology optimization.
Python
1
star
13

GeneticWheels

Genetic optimization algorithm for the evolution of wheels.
Python
1
star
14

GeneticNeuralNetworkTraining

A Python implementation of a genetic optimizer for fully connected neural networks
Python
1
star
15

RocketLander

A simple framework equipped with optimization algorithms, such as reinforcement learning, evolution strategies, genetic optimization, and simulated annealing, to enable an orbital rocket booster to land autonomously.
Python
1
star
16

kaifishr.github.io

My corner of the internet.
SCSS
1
star