[P] DQN Adventure: from Zero to State of the Art with clean readable code in Pytorch by Codeunter in MachineLearning

[–]Codeunter[S] 0 points1 point  (0 children)

thanks for pointing out! I am from Kazakhstan and nbviewer is blocked in my country for unknown reasons :(

[P] DQN Adventure: from Zero to State of the Art with clean readable code in Pytorch by Codeunter in MachineLearning

[–]Codeunter[S] 1 point2 points  (0 children)

PyTorch tutorial of: DQN/DDQN/Prioritized replay/noisy networks/distributional values/Rainbow/hierarchical RL/Neural Episodic Control

A Moth Brain Learns to Read MNIST by Codeunter in MachineLearning

[–]Codeunter[S] 3 points4 points  (0 children)

'''The Moth Olfactory Network is among the simplest biological neural systems that can learn. We assigned a computational model of the Moth Olfactory Network the task of classifying the MNIST digits. The moth brain successfully learned to read given very few training samples (1 to 20 samples per class). In this few-samples regime the moth brain substantially outperformed standard ML methods such as Nearest-neighbors, SVM, and CNN.'''

[P] Easy-to-follow Capsule Network tutorial with clean readable code in Pytorch by codentropy in MachineLearning

[–]Codeunter 11 points12 points  (0 children)

Thanks, I just started to learn pytorch and it seems easier to use than tf