jiaxingbinggan Goto Github PK
Type: User
jiaxingbinggan's Projects
fab_expr
The codes for 《A Dynamic Bidding Strategy Based on Model-free Reinforcement Learning in Display Advertising》
for_work
Base data struction and code for work's interview
grok-1
Grok open release
gumbel_dpg
Blog post: how to do deterministic policy gradient with gumbel softmax and why you should do it.
interview_python
关于Python的面试题
jiaxingbinggan.github.io
My Blog
jiaxingbinggan.origin.github.io
largebatchctr
Large batch training of CTR models based on DeepCTR with CowClip.
lstm_bp
LSTM_BP
lstm_project
LSTM与电力负荷预测
master_expr
for master' paper
mirs-web-vue
如题，电影智能推荐系统前端的vue实现
mp_project
Set Projects for learning mindspore
msrl
Mindspore for Reinforcement Learning
pdoc-node
个人文档中心的nodejs后台
pdoc-vue
个人文档中心的vue前端
pgfl
Policy Gradient for feature selection
reinforcement_learning_interview_notes-chinese
强化学习面试（未完待续）
resnet_ensemble
ensemble learning for resnet
rl_ad
利用强化学习算法实现的出价策略
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