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Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
AutoGluon: AutoML Toolkit for Deep Learning
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Bare bone examples of machine learning in TensorFlow
Distributed Deep learning with Keras & Spark
Open-source software for volunteer computing and grid computing.
In our API docs we currently use
.. autosummary::
Client
Client.call_stack
Client.cancel
...
To generate a table of Client methods at the top of the page. Later on we use
.. autoclass:: Client
:members:
to display the docstrings for all the public methods on Client (here an example for
PySpark + Scikit-learn = Sparkit-learn
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
MapReduce, Spark, Java, and Scala for Data Algorithms Book
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System
Distributed Computing for AI Made Simple
LizardFS is an Open Source Distributed File System licensed under GPLv3.
SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis) + R/W Splitting + PropertyChangedTrack +Dynamic Repository + InvokeSync + Diagnostics
Framework for large distributed pipelines
A long list of academic papers on the topic of distributed consensus
A full stack, reactive architecture for general purpose programming. Algebraic and monadically composable primitives for concurrency, parallelism, event handling, transactions, multithreading, Web, and distributed computing with complete de-inversion of control (No callbacks, no blocking, pure state)
A light-weight library for building distributed applications such as microservices
Fast Raft framework using the Redis protocol for Go
Thrill - An EXPERIMENTAL Algorithmic Distributed Big Data Batch Processing Framework in C++
distributed dataflows with functional list operations for data processing with C++14
Awesome list of distributed systems resources
Distributed training framework with parameter server
A Go library for master-less peer-to-peer autodiscovery and RPC between HTTP services
currently Metorikku is using a simple YAML config file as input.
we need to be able to override this configuration using CLI params
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
A curated list of awesome Distributed Deep Learning resources.
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If you try to run experiment in system/docker container where missing git (in system) your code will crush at this line:
https://github.com/catalyst-team/catalyst/blob/master/catalyst/utils/pipelines.py#L4
with message like this: