Xiaohang Zhao's repositories

PyWME

A pure python implementation of the Word Mover‘s Embedding Algorithm

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pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

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alphafold

Open source code for AlphaFold.

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anhp-andtt

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

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CostSensitiveClassification

CostSensitiveClassification Library in Python

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Data-Augmentation-For-Wearable-Sensor-Data

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

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GVAR

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

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hedwig

PyTorch deep learning models for document classification

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ifl-tpp

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

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imtpp

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

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LOB

Benchmark Dataset of Limit Order Book in China Markets

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mgp-tcn

Sepsis Prediction on MIMIC

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NeuralNetworkPointProcess

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

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pyda-2e-zh

:book: [译] 利用 Python 进行数据分析 · 第 2 版

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pydata-book

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

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pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

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pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

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pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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sklearn-hierarchical-classification

Hierarchical classification module based on scikit-learn's interfaces and conventions.

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SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

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survival_distributions

Extended functionality for univariate probability distributions in PyTorch

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tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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WassersteinGAN_GP-PyTorch

Improved training of Wasserstein GANs

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WHU_FinTech_Workshop

武汉大学金融科技研讨班

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