Yi-Xuan XU

Clustering / Subspace Clustering Algorithms on MATLAB

PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

Implementation of "Reconstruction-based Anomaly Detection with Completely Random Forest," SIAM International Conference on Data Mining (SDM), 2021.

No description.

Ranking, acceptance rate, deadline, and publication tips

A Latency and Coverage Optimized Data Collection Scheme for Smart Cities Based on Vehicular Ad-hoc Networks, Sensors, 2017.

Multi Label Neural Network

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Experimental Random Forest for Handling Extremely Large Dataset based on Scikit-Learn.

A unified framework for machine learning with time series

A collection of utility functions for Spark MLlib

No description.

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

An open source UI for OpenChat models

NBA sports betting using machine learning

Ongoing research training transformer models at scale

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

:alarm_clock: AI conference deadline countdowns

No description.

Survival analysis built on top of scikit-learn

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

No description.