1.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.
+255 stars
from 29,727 · score 5.55
Trending repositories
Ranked by Attention Score: stars gained over the last 30 complete days
15 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
2.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.
+251 stars
from 43,923 · score 5.53
3.optuna / optuna
A hyperparameter optimization framework
+138 stars
from 14,863 · score 4.93
4.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
+56 stars
from 10,751 · score 4.04
5.wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
+50 stars
from 11,261 · score 3.93
6.automl / auto-sklearn
Automated Machine Learning with scikit-learn
+16 stars
from 8,133 · score 2.83
7.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
+14 stars
from 1,253 · score 2.71
8.polyaxon / polyaxon
AI Infra / AI Orchestration / AI Control Plane
+11 stars
from 3,736 · score 2.48
9.EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
+7 stars
from 10,048 · score 2.08
10.microsoft / nniArchived
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
+5 stars
from 14,361 · score 1.79
11.determined-ai / determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
+5 stars
from 3,240 · score 1.79
12.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
+1 stars
from 2,828 · score 0.69
13.maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
+1 stars
from 2,172 · score 0.69
14.autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
+1 stars
from 1,634 · score 0.69
15.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