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hk2-d's Projects

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deepctr-torch icon deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepprivacy icon deepprivacy

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

go icon go

The Open Source Data Science Masters

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

mexican-government-report icon mexican-government-report

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

stringsifter icon stringsifter

A machine learning tool that ranks strings based on their relevance for malware analysis.

stumpy icon stumpy

STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks

tensor2robot icon tensor2robot

Distributed machine learning infrastructure for large-scale robotics research

tensorflow2-generative-models icon tensorflow2-generative-models

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

tiler icon tiler

👷 Build images with images

tubemq icon tubemq

TubeMQ focuses on high-performance storage and transmission of massive data in big data scenarios

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