hjh1213's Stars
alibaba/euler
A distributed graph deep learning framework.
alibaba/x-deeplearning
An industrial deep learning framework for high-dimension sparse data
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
tensorflow/recommenders-addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
hjh1213/google-research
Google Research
tensorflow/ranking
Learning to Rank in TensorFlow
google-research/google-research
Google Research
tensorflow/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
wzhe06/Ad-papers
Papers on Computational Advertising
CRIPAC-DIG/SR-GNN
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
ouououououou/DIB-PEB-Sequential-RS
A tensorflow implementation of the paper "Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation" in IJCAI 2019
imsheridan/DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
hjh1213/xDeepFM
dformoso/machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
dformoso/deeplearning-mindmap
A mindmap summarising Deep Learning concepts.
mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
stewy33/pong-with-policy-gradients
Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/
thinkingparticle/deep_rl_pong_keras
Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras
hjh1213/Atari-Pong-RL
Autonomous agent for the Atari game Pong - Reinforcement Learning :robot:
vnpy/vnpy
基于Python的开源量化交易平台开发框架
tangyudi/Ai-Learn
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域