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zaneguqi's Projects

image-captioning icon image-captioning

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers

ipca icon ipca

Instrumented Principal Components Analysis

keras-hypetune icon keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

kg-2019 icon kg-2019

2019年百度的三元组抽取比赛,“科学空间队”源码

linearmodels icon linearmodels

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

listnet icon listnet

Implementation of the listwise Learning to Rank algorithm described in the paper by Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li "Learning to rank: from pairwise approach to listwise approach"

lstm icon lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接

mcmc-sampling icon mcmc-sampling

The theory and implement of Metropolis Hastings Algorithm and Gibbs sampling

mfgarch icon mfgarch

An R package for using mixed-frequency GARCH models

mhgan icon mhgan

Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling

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