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awesome-distributed-systems

A curated list to learn about distributed systems

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

blackscholeswidget

dataflowjavasdk

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

deep-learning-world

:satellite: Organized Resources for Deep Learning Researchers and Developers

delta

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python.

django-rest-framework

Awesome web-browseable Web APIs.

ece438

Automatically exported from code.google.com/p/ece438

ece549-proj

ECE 549 Final Project

folium

Python Data. Leaflet.js Maps.

fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

kafka-in-production

:books: Tech blogs & talks by companies that run Kafka in production

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keystone

Simplifying robust end-to-end machine learning on Apache Spark.

leaflet.timedimension

Add time dimension capabilities on a Leaflet map.

macrobase

http://macrobase.io/

magenta

Magenta: Music and Art Generation with Machine Intelligence

mev_bundle_generator

A MEV bundle generator written in Rust

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

nbexamples

distribute notebooks for users to copy via a web interface

notebooks

nteract

:notebook: Desktop notebook app + packages

openstack-java-sdk

OpenStack Java SDK

parquet-format

Apache Parquet

pinot

Apache Pinot - A realtime distributed OLAP datastore

pipeline

Real-time, End-to-End, Advanced Analytics and Machine Learning Recommendation Pipeline

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

prompt-engineering-guide

:octopus: Guides, papers, lecture, and resources for prompt engineering

pyro

Deep universal probabilistic programming with Python and PyTorch

react-ipython-notebook

React component for nbconvert.js