A python tutorial on bayesian modeling techniques (PyMC3)

Gaussian processes framework in python

BPNN, SVC, SVR, CART, GSOM, LOF, K_MEANS, GRNN, LR, MLR

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

Modification for Broad Learning System, including BLS, CNN-BLS, PCA-BLS. Now BroadLearningSystemTools-2.0 is available.

Grey Wolf Optimizer to Minimize Functions with Continuous Variables

🏋️ Python / Modern C++ Solutions of All 3465 LeetCode Problems (Weekly Update)

Companion webpage to the book "Mathematics For Machine Learning"

中文文本聚类

A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Statistical data visualization in Python

Part of codes for A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-based Models

Heterogeneous Information Network Datasets

A Network Integration Approach for Drug-Target Interaction Prediction

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

Implementation of A Neural Collaborative Filtering Model with Interaction-based Neighborhood (NNCF)

LibRec: A Leading Java Library for Recommender Systems, see

open source for wechat-official-account (ID: PyDataLab)

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Latex code for making neural networks diagrams

Datasets-for-Heterogeneous-Graph

Recommender Learning with Tensorflow2.x

Topic-driven restricted-metapath for similarity measurement in HINs