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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Free and Open Source, Distributed, RESTful Search Engine
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…
Apache Superset is a Data Visualization and Data Exploration Platform
Tesseract Open Source OCR Engine (main repository)
A cross-platform, OpenGL terminal emulator.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Apache Spark - A unified analytics engine for large-scale data processing
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A toolkit for developing and comparing reinforcement learning algorithms.
Netty project - an event-driven asynchronous network application framework
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
An open-source C++ library developed and used at Facebook.
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
Cloud-native high-performance edge/middle/service proxy