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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
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
Describe the bug
I found that some names agruments in framework aren't consistent.
So for example:
class SupervisedRunner(Runner):
"""Runner for experiments with supervised model."""
_experiment_fn: Callable = SupervisedExperiment
def __init__(
self,
model: Model = None,
device: Device = None,
input_key: Any = "features",
Distributed Deep learning with Keras & Spark
Open-source software for volunteer computing and grid computing.
Clients created with worker_client or get_client don't respect the timeout settings (e.g. distributed.comm.timeouts.connect. The timeout is available to set programmatically, but defaults to 3 rather than falling back to the config file. I think this should be as simple as replacing timeout=3 with timeout=None throughout that code path.
PySpark + Scikit-learn = Sparkit-learn
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System
MapReduce, Spark, Java, and Scala for Data Algorithms Book
Distributed Computing for AI Made Simple
A Hashcat wrapper for distributed hashcracking
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
A long list of academic papers on the topic of distributed consensus
Framework for large distributed pipelines
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++
If enter_data() is called with the same train_path twice in a row and the data itself hasn't changed, a new Dataset does not need to be created.
We should add a column which stores some kind of hash of the actual data. When a Dataset would be created, if the metadata and data hash are exactly the same as an existing Dataset, nothing should be added to the ModelHub database and the existing
distributed dataflows with functional list operations for data processing with C++14
Awesome list of distributed systems resources
A HTTP Ruby API for Consul
Distributed training framework with parameter server
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How do i resume training for text classification?