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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Scrapy, a fast high-level web crawling & scraping framework for Python.
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
A collection of design patterns/idioms in Python
TensorFlow code and pre-trained models for BERT
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenMMLab Detection Toolbox and Benchmark
⚡ A Fast, Extensible Progress Bar for Python and CLI
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Distributed Task Queue (development branch)
《Designing Data-Intensive Application》DDIA中文翻译
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Asynchronous HTTP client/server framework for asyncio and Python
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.