Blockchain Guide
yeasy
Introduce technologies on blockchain and distributed ledger, from theory to practice with bitcoin, ethereum and hyperledger.
FinanceReview before use
7.1KGitHub
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Results · “distributed-ledger-technology”
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Fabric
hyperledger
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies…
Web3 AnalyticsReview before use
16.7KGitHub
Django Ledger
arrobalytics
Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.
FinanceReview before use
1.4KGitHub
LightGBM
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
Ml AutomationReview before use
18.5KGitHub
7.8KGitHub
Etcd
etcd-io
Distributed reliable key-value store for the most critical data of a distributed system
DevopsReview before use
51.8KGitHub
Ray
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Ml AutomationReview before use
42.9KGitHub
Seaweedfs
seaweedfs
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effor…
DevopsReview before use
32.9KGitHub
Shardingsphere
apache
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
DataReview before use
20.8KGitHub
Surrealdb
surrealdb
A scalable, distributed, collaborative, document-graph database, for the realtime web
CodingReview before use
32.4KGitHub
Cockroach
cockroachdb
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.
DataReview before use
32.2KGitHub
Xgboost
dmlc
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,…
Ml AutomationReview before use
28.5KGitHub
Paddle
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Ml AutomationReview before use
24KGitHub
22.9KGitHub
16.7KGitHub
12.6KGitHub
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