《动手学大模型Dive into LLMs》系列编程实践教程
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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.
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Notebooks for the third edition of Think Stats
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Repository for the book Grokking Machine Learning, by Manning Editors
《Python Cookbook》 3rd Edition Translation
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 🚀.
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This repository helps you learn Python and Machine Learning from scratch.
Natural Gradient Boosting for Probabilistic Prediction
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页,AI 生成,Markdown 拥有 👇
Making Protein folding accessible to all!
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).
Code examples for Robotics, Vision & Control 3rd edition in Python
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.
Text and supporting code for Think Stats, 2nd Edition
Multi-agent systems, memory, planning, reasoning loops
Text and code for the second edition of Think Bayes, by Allen Downey.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
GenMedia Creative Studio is a generative media user experience highlighting the use of Gemini, Gemini Omni, Veo, Gemini Image 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.
SMT: The Surrogate Modeling Toolbox
Book and code for Think Complexity, 2nd edition
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.
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
Hands-on Microsoft Fabric Data Science labs (FreshMart churn) with Thai study notes, PySpark/MLflow, and DP-604-aligned learning path.
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.
One Power BI template for Microsoft Copilot credit consumption and cost - Cowork/Work IQ, Copilot Studio, GitHub Copilot and Azure AI Foundry.
Companion code for predicting returns of delta-neutral portfolio.
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.