simonnanty

neobase

Minimalist GeoBases: single file, no dependency, compatible with Python 2.6+, Python 3.x, Pypy

srbench

A living benchmark framework for symbolic regression

deep-symbolic-optimization

A deep learning framework for symbolic optimization.

GP-GOMEA

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

PySR

High-Performance Symbolic Regression in Python and Julia

UnbiasedGBM

repository for Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

For_shared_codes

keras_layers

Various Additional Keras Layers: SparseConv2D, PartialConv2D, GroupConv2D, DeformableConv2D, DepthwiseConv2D, MaxPoolingWithArgmax2D, MaxUnpooling2D, AddCoords2D, Blur2D, LayerNormalization, InstanceNormalization, WeightNormalization, EqualizedLearningRates

partialconv

A New Padding Scheme: Partial Convolution based Padding

set_transformer

Pytorch implementation of set transformer

ethik

:mag_right: A toolbox for fair and explainable machine learning

set-transformer

A neural network architecture for prediction on sets

deap

Distributed Evolutionary Algorithms in Python

nngp

Deep neural network kernel for Gaussian process

shap

A game theoretic approach to explain the output of any machine learning model.