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leezqcst's Projects

hmmlearn icon hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hmn4qa icon hmn4qa

This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]

hoag icon hoag

Hyperparameter optimization with approximate gradient

horovod icon horovod

Distributed training framework for TensorFlow.

how_to_make_data_amazing icon how_to_make_data_amazing

This is the code for the "How to Make Data Amazing - Intro to Deep Learning #5" by Siraj Raval on Youtube

hred-qs icon hred-qs

Hierarchical Recurrent Encoder Decoder for Query Suggestion

hred-tf icon hred-tf

Hierarchical Recurrent Encoder-Decoder in TensorFlow

hyperas icon hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hypergan icon hypergan

A versatile GAN(generative adversarial network) implementation. Focused on scalability and ease-of-use.

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-keras-cnn-cifar-100 icon hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

ibot icon ibot

为命令行火车票查询器添加自然语言交互界面

id-cnn-cws icon id-cnn-cws

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

ideabook icon ideabook

一个全栈增长工程师的练手项目集. A Growth Engineering Idea in Action.

igan icon igan

Interactive Image Generation via Generative Adversarial Networks

iir icon iir

Machine Learning / Natural Language Processing / Information Retrieval

imageaugmentation icon imageaugmentation

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.

imbalanced-learn icon imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

imgaug icon imgaug

Image augmentation for machine learning experiments.

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