Pinned Repositories
AndrewCourse
Answer and material for Andrew Ng's course
DeepNeuralNet
Build a deep neural network using numpy
Defects_Detection_MaskRCNN
Detect mainly three kinds of defects on chips,which are bump,dent and dot at pixel level.
fine-grained_text_classification
Intern work in Alibaba: Classification of search query , altogether 13k query types(categories).In fact, there is a mapping from search query in Taobao to shopping categories..
knowledge_augmented_bert
Intern work in Alibaba: Pretrain BERT for text encoding with knowledge augmentation task.
Leetcode
分类总结各种数据类型的算法题目
MFPPM
Memory Focused Proximal Policy Method for Adaptive Biped Locomotion
Network_Design_Task
Try to build small but efficient networks based on torch
Quant_alphaStrategy
Apply powerful machine learning algorith to win the market
Quant_MarketTrend
Burg algorithm
CristinaMa0917's Repositories
CristinaMa0917/Defects_Detection_MaskRCNN
Detect mainly three kinds of defects on chips,which are bump,dent and dot at pixel level.
CristinaMa0917/Quant_alphaStrategy
Apply powerful machine learning algorith to win the market
CristinaMa0917/knowledge_augmented_bert
Intern work in Alibaba: Pretrain BERT for text encoding with knowledge augmentation task.
CristinaMa0917/fine-grained_text_classification
Intern work in Alibaba: Classification of search query , altogether 13k query types(categories).In fact, there is a mapping from search query in Taobao to shopping categories..
CristinaMa0917/Leetcode
分类总结各种数据类型的算法题目
CristinaMa0917/MFPPM
Memory Focused Proximal Policy Method for Adaptive Biped Locomotion
CristinaMa0917/Network_Design_Task
Try to build small but efficient networks based on torch
CristinaMa0917/Quant_MarketTrend
Burg algorithm
CristinaMa0917/AndrewCourse
Answer and material for Andrew Ng's course
CristinaMa0917/DeepNeuralNet
Build a deep neural network using numpy
CristinaMa0917/NLP
CristinaMa0917/rl_assignments
Contains my solutions to the assignments posted by denny britz
CristinaMa0917/universal_user_embedding
Intern work in Alibaba: Generate a universal user embedding from the past search queries of that user. The universal user embedding is able to reflect the user's long time interest and short time preference.