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Tetsuya Motokawa's Projects

deepnethessian icon deepnethessian

Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)

fast_adversarial icon fast_adversarial

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

fmin icon fmin

Unconstrained function minimization in Javascript

hbp icon hbp

Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations

hessianfree icon hessianfree

An implementation of the Hessian-free optimization algorithm in Theano

kfac icon kfac

An implementation of KFAC for TensorFlow

mcc icon mcc

compilerbookを参考にCコンパイラを自作する

pyhessian icon pyhessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-a2c-ppo-acktr icon pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

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