Leo's starred repositories
leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
ai-deadlines
:alarm_clock: AI conference deadline countdowns
deep-recommender-system
深度学习在推荐系统中的应用及论文小结。
Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
pytorch-tensor-decompositions
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
learning_to_rank
利用lightgbm做(learning to rank)排序学习,包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.
Machine_Learning_Code
《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现
deepALplus
This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).
MetaEmbedding
Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
Decompose-CNN
CP and Tucker decomposition for Convolutional Neural Networks
qlearning_robot
用 qlearning 算法走迷宫
pytorch-tensor-decompositions
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.