A free 9-week course teaching data engineering by building an end-to-end data pipeline using tools like Docker, Terraform, Kafka, Spark, and dbt.
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
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从 NLP 到 LLM 的算法全栈教程,在线阅读地址:https://datawhalechina.github.io/base-llm/
Web-based notebook environment for interactive computing, supporting code, text, and output in one document.
Kubernetes Community Documentation
《Python Cookbook》 3rd Edition Translation
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Guide, document and practical tips for getting the most out of the Ling model series.
Create delightful software with Jupyter Notebooks
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
Use Jupyter Notebook in mkdocs
Code samples used on cloud.google.com
TensorFlow documentation
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Keras documentation, hosted live at keras.io
Python supercharged for the fastai library
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战,数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
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