lingweizhu

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

disc

Doubly_Stochastic_Gradients

Code for doubly stochastic gradients

DQN-Atari-Agents

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

EntropyRegularizedRL

Implementations of entropy-regularized RL algorithms.

falkon

Large-scale, multi-GPU capable, kernel solver

FALKON_paper

FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

lingweizhu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lp_rffs

Low precision random Fourier features for kernel approximation

Pytorch-MunchausenActorCritic

pytorch implementation of Munchausen Actor critic

lingweizhu/Pytorch-MunchausenActorCritic

pytorch implementation of Munchausen Actor critic

lingweizhu/EntropyRegularizedRL

Implementations of entropy-regularized RL algorithms.

lingweizhu/denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

lingweizhu/disc

lingweizhu/Doubly_Stochastic_Gradients

Code for doubly stochastic gradients

lingweizhu/DQN-Atari-Agents

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

lingweizhu/falkon

Large-scale, multi-GPU capable, kernel solver

lingweizhu/FALKON_paper

FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

lingweizhu/lingweizhu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lingweizhu/lp_rffs

Low precision random Fourier features for kernel approximation

lingweizhu/MetaVRF

This repository contains source code of the ICML 2020 paper:(Learning to Learn Kernels with Variational Random Features)

lingweizhu/MinAtar

lingweizhu/NystromCoRe

Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing Systems, December 2015.

lingweizhu/quffka

Quadrature-based features for kernel approximation

lingweizhu/recursive-nystrom

Recursive importance sampling for Nyström kernel matrix approximation

lingweizhu/td-reg

TD-Regularized Actor-Critic Methods

lingweizhu/tsallis_regularization

code for the paper offline RL via Tsallis Regularization