1.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
+591 stars
from 10,216 · score 6.38
Trending repositories
Ranked by Attention Score: stars gained over the last 180 complete days
13 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
2.statsmodels / statsmodels
Statsmodels: statistical modeling and econometrics in Python
+409 stars
from 11,324 · score 6.02
3.meta / prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
+388 stars
from 20,082 · score 5.96
4.sktime / sktime
A unified framework for machine learning with time series
+379 stars
from 9,706 · score 5.94
5.unit8co / darts
A python library for user-friendly forecasting and anomaly detection on time series.
+256 stars
from 9,316 · score 5.55
6.Nixtla / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
+247 stars
from 4,055 · score 5.51
7.Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
+214 stars
from 4,744 · score 5.37
8.NVIDIA / DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
+156 stars
from 14,715 · score 5.06
9.Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
+91 stars
from 1,208 · score 4.52
10.skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
+71 stars
from 1,473 · score 4.28
11.futuresearch / futuresearch-python
Forecast what will happen, including outcomes of your decisions.
+20 stars
from 37 · score 3.04
+10 stars
from 583 · score 2.40
13.quantium-ai / patternity
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
+2 stars
from 13 · score 1.10