Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
BFGS-Quasi-Newton-Method-Pytorch
This is a pytorch implementation of bfgs quasi newton method optimization algorithm
Kaggle-Santander-Customer-Transaction-Prediction
Top 0.5% rankings(45/9038) code sharing for Kaggle competition: Santander Customer Transaction Prediction
nlp-ner
open-deepnude
Open source reverse-engineered clone of DeepNude
ranking
Learning to Rank in TensorFlow
RankNet
My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
SVMPairwiseRanking
Ranking of Pages related to query using SVM Pairwise Ranking
tensorflow-LTR
Tensorflow implementations of various Learning to Rank (LTR) algorithms.
readcy's Repositories
readcy/BFGS-Quasi-Newton-Method-Pytorch
This is a pytorch implementation of bfgs quasi newton method optimization algorithm
readcy/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
readcy/Kaggle-Santander-Customer-Transaction-Prediction
Top 0.5% rankings(45/9038) code sharing for Kaggle competition: Santander Customer Transaction Prediction
readcy/nlp-ner
readcy/open-deepnude
Open source reverse-engineered clone of DeepNude
readcy/ranking
Learning to Rank in TensorFlow
readcy/RankNet
My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
readcy/RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
readcy/SVMPairwiseRanking
Ranking of Pages related to query using SVM Pairwise Ranking
readcy/tensorflow-LTR
Tensorflow implementations of various Learning to Rank (LTR) algorithms.