Pinned Repositories
Cats_vs_Dogs
Competition
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
lihang-code
《统计学习方法》的代码实现
MachineLearning
ML
models
Models and examples built with TensorFlow
project
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).
ReinforcementLearning
强化学习的笔记
zhangybuaa's Repositories
zhangybuaa/Cats_vs_Dogs
zhangybuaa/Competition
zhangybuaa/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
zhangybuaa/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
zhangybuaa/lihang-code
《统计学习方法》的代码实现
zhangybuaa/MachineLearning
ML
zhangybuaa/models
Models and examples built with TensorFlow
zhangybuaa/project
zhangybuaa/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).
zhangybuaa/ReinforcementLearning
强化学习的笔记
zhangybuaa/team-learning
Datawhale组队学习计划与课程内容