1.ray-project / ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
+52 stars
from 44,122 · score 3.97
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2.d2l-ai / d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
+51 stars
from 29,931 · score 3.95
3.optuna / optuna
A hyperparameter optimization framework
+35 stars
from 14,966 · score 3.58
4.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
+12 stars
from 10,795 · score 2.56
5.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
+5 stars
from 1,262 · score 1.79
6.wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
+2 stars
from 11,309 · score 1.10
7.automl / auto-sklearn
Automated Machine Learning with scikit-learn
+1 stars
from 8,148 · score 0.69
8.rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
+1 stars
from 390 · score 0.69