YaoWang-neu

randomForestSRC

DOCUMENTATION:

google-research

Google Research

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

ColossalAI

Making large AI models cheaper, faster and more accessible

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

geppy

A framework for gene expression programming (an evolutionary algorithm) in Python

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

multiview_learning

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

zhang-shasha

Tree edit distance using the Zhang Shasha algorithm

operon

C++ Large Scale Genetic Programming

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

hash

🚀 Open-source, self-building database and AI worker management

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

EDF

EDF solves the multi-view features fusion problem by searching an optimal combination scheme of different basic fusion operators.

EDFv0.1

A simple implementation version of EDF for paper "Evolutionary Deep Fusion Method for Chemical Structure Recognition"

pmlb

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

evocnn

codes for the paper of "Evolving Deep Convolutional Neural Networks for Image Classification" published by TEVC

NASPapers

Paper lists of neural architecture search (NAS)

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

Bayesian_Network

A Bayesian Method for the Induction of Probalistic Networks from Data

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

scikit-learn

scikit-learn: machine learning in Python

pyNSGP

Multi-objective Genetic Programming by NSGA-II in Python

monkeys

A strongly-typed genetic programming framework for Python

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

neural-architecture-transfer

Neural Architecture Transfer (Arxiv'20), PyTorch Implementation