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ddehueck
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pytorch-neat
A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
MIT License
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Bump torch from 1.11.0 to 2.2.0
#21
dependabot[bot]
opened
3 months ago
0
Bump tqdm from 4.64.0 to 4.66.3
#20
dependabot[bot]
opened
6 months ago
0
Can the model built by this method implement backpropagation using PyTorch?
#19
g1g122
opened
1 year ago
0
Pr/cleanup
#18
D0rs4n
closed
1 year ago
0
Pr/cleanup
#17
D0rs4n
closed
1 year ago
0
Wandb
#16
GabrielDeml
closed
1 year ago
0
Double
#15
GabrielDeml
closed
1 year ago
0
Trial runner
#14
GregoryConrad
closed
1 year ago
0
Preprocess convolve for mnist
#13
aidanhor-n
closed
1 year ago
0
template_experiment_config.py with __init__ and eval_genomes functions
#12
aidanhor-n
closed
2 years ago
0
Mnist
#11
GabrielDeml
closed
2 years ago
0
add chess code and config file
#10
SuaveRav
closed
2 years ago
0
Fixed exmaples configurations
#9
ZappaBoy
closed
2 years ago
0
update deprecated import and logging function
#8
ccneko
closed
3 years ago
2
my question is: this NEAT algorithm works well on XOR-experiment(2 input and 2 output), but I use it on a 3-input function, it works less efficient than XOR-experiment.
#7
luzd19
opened
4 years ago
2
Evolving Activation function choices
#6
GautamSridhar
opened
4 years ago
3
[fix] corrected using of torch - issue `RuntimeError` dealed with
#5
DmitriyValetov
closed
4 years ago
1
Are the weights optimized by the autograd of torch?
#4
kevin031060
opened
5 years ago
5
RuntimeError
#3
wangfrombupt
opened
5 years ago
1
Performance improvement attempt
#2
crackcomm
closed
2 years ago
2
PyTorch native implementation
#1
crackcomm
closed
2 years ago
2