Stochastic gradient descent with model building
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Updated
Feb 15, 2023 - Python
Stochastic gradient descent with model building
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
code for blog post https://gebob19.github.io/natural-gradient/
PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020
Easy-to-use AdaHessian optimizer (PyTorch)
The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.
[ACL 2019] Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
Code for Statistically-motivated Second-order Pooling, ECCV2018
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