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ikostrikov
pytorch-a2c-ppo-acktr-gail ikostrikov
828
3.6k
mit
66
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
a2c ale ppo kfac acktr atari mujoco hessian pytorch roboschool actor-critic second-order deep-learning natural-gradients continuous-control advantage-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization kronecker-factored-approximation
Created 2017-08-22
274 commits to master branch, last one 3 years ago
amirgholami
PyHessian amirgholami
119
694
mit
14
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
hessian hessian-free second-order pytorch-library second-order-optimization
Created 2019-11-20
40 commits to master branch, last one 10 months ago
tonyngjichun
SOLAR tonyngjichun
34
175
mit
12
PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020
cnn eccv pytorch eccv2020 eccv-2020 second-order deep-learning computer-vision image-retrieval non-local-block local-descriptors global-descriptors
Created 2020-07-06
36 commits to master branch, last one 3 years ago