dehdari's Stars
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
shap/shap
A game theoretic approach to explain the output of any machine learning model.
joke2k/faker
Faker is a Python package that generates fake data for you.
dask/dask
Parallel computing with task scheduling
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
niderhoff/nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
BayesWitnesses/m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
philipperemy/keract
Layers Outputs and Gradients in Keras. Made easy.
thomasp85/lime
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
josejimenezluna/pyGPGO
Bayesian optimization for Python
nblock/pdb-cheatsheet
A cheatsheet for the Python Debugger (pdb)
jknowles/datasynthR
Functions to procedurally generate synthetic data in R for testing and collaboration.