xuyxu Goto Github PK

ai-deadlines

:alarm_clock: AI conference deadline countdowns

clustering

Clustering / Subspace Clustering Algorithms on MATLAB

data-mining-conferences

Ranking, acceptance rate, deadline, and publication tips

deep-clustering-network

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

deep-forest

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

deep_forest_benchmarks

deepctr-torch

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

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

ensemble-pytorch

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

gcforest

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

ieee-cis-fraud-detection-playground

ipython

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

lcodc

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

light-random-forest

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

megatron-lm

Ongoing research training transformer models at scale

multi-label-neural-network

Multi Label Neural Network

nba-machine-learning-sports-betting

NBA sports betting using machine learning

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch-blog-post

recforest

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

scikit-survival

Survival analysis built on top of scikit-learn

sktime

A unified framework for machine learning with time series

soft-decision-tree

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

spark-mllib-utils

A collection of utility functions for Spark MLlib