scikit-learn-contrib / MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
scikit-learn-contrib / MAPIE
fgn2pyh2wn-afk / brain_tumour_predict
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shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing
This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.
Nixtla / nixtla
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Tanu-N-Prabhu / Python
This repository helps you learn Python and Machine Learning from scratch.
stanfordmlgroup / ngboost
Natural Gradient Boosting for Probabilistic Prediction
datawhalechina / torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
FareedKhan-dev / agentic-knowledge-graph
Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.
sokrypton / ColabFold
Making Protein folding accessible to all!
The-FinAI / PIXIU
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
GoogleCloudPlatform / vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
khalil-research / PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
SMTorg / smt
SMT: The Surrogate Modeling Toolbox
DataFabric-Academy / ms-fabric-data-science
Hands-on Microsoft Fabric Data Science labs (FreshMart churn) with Thai study notes, PySpark/MLflow, and DP-604-aligned learning path.
harinishri2204-cpu / Pollu-Sence
PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and deep learning techniques. The platform integrates real-time air quality data.