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a-pytorch-tutorial-to-text-classification

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

alphafold

Open source code for AlphaFold.

anhp-andtt

Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

anki-createimportfile

Process some txt file and convert it to Anki note

clickstreamdmm

costsensitiveclassification

CostSensitiveClassification Library in Python

data-augmentation-for-wearable-sensor-data

A sample code of data augmentation methods for wearable sensor data (time-series data)

document-similarity-via-hidden-topics

Document Similarity for Texts of Varying Lengths via Hidden Topics

emacs-tutorial-in-chinese

emacs系列教程，中文写作

famafrench

Python package designed to construct and replicate datasets from Ken French's online library by accessing WRDS remotely through its cloud server "wrds-cloud".

fft_demo

study DFT&FFT （python)

frauddetection

Accounting Fraud Detection Using Machine Learning

gaitpy

gans_for_credit_card_data

gvar

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

hedwig

PyTorch deep learning models for document classification

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

imtpp

Artefacts related to the AISTATS 2021 paper "Learning Temporal Point Processes with Intermittent Observations".

learnpython

以撸代码的形式学习Python

lob

Benchmark Dataset of Limit Order Book in China Markets

mgp-tcn

Sepsis Prediction on MIMIC

neural-document-modeling

PyTorch implementations of NVDM, GSM, NTM, NTMR

neuralnetworkpointprocess

code for "Fully Neural Network based Model for General Temporal Point Processes"

patent

Evaluate the value of patents through the credits they receive

persuasion-advertisements

persuasion_strategy_wvae

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

prml

PRML algorithms implemented in Python

pyda-2e-zh

:book: [译] 利用 Python 进行数据分析 · 第 2 版

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media