ai engineering hub
REVIEWIn-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Ship faster with AI on your side. These developer tools cover code completion, debugging, documentation generation, API testing, and code review compatible with VS Code, JetBrains, and major cloud environments.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Visualizer for neural network, deep learning and machine learning models
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
A game theoretic approach to explain the output of any machine learning model.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.