Awesome-Rust-MachineLearning
tikv
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| Awesome-Rust-MachineLearning | tikv | |
|---|---|---|
| 5 | 21 | |
| 1,679 | 14,476 | |
| - | 1.7% | |
| 0.0 | 9.7 | |
| 7 months ago | 1 day ago | |
| JavaScript | Rust | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-Rust-MachineLearning
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Performance critical ML: How viable is Rust as an alternative to C++
There’s an awesome-git list for a bunch of ML rust stuff not sure how up to date it is as well https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning … not mine
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Machine Learning Inference Server in Rust?
I am looking for something like [Triton Inference Server](https://github.com/triton-inference-server/server) or [TFX Serving](https://www.tensorflow.org/tfx/guide/serving), but in Rust. I came across [Orkon](https://github.com/vertexclique/orkhon) which seems to be dormant and a bunch of examples off of the [Awesome-Rust-MachineLearning](https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning)
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Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
There's also https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning
- I wanted to share my experience of Rust as a deep learning researcher
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Awesome Rewrite It In Rust - A curated list of replacements for existing software written in Rust
I saw Awesome-Rust-MachineLearning. It have something replacements from Python.
tikv
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just wanted to ask is there an in memory database that uses s3 or gcp cloud storage as permanent storage
I know that very similar functionality to this is in TiDB Serverless ( https://tidbcloud.com ). TiDB is a distributed relational database. It uses TiKV ( which is a key/value engine ) as the storage engine. You could use SQL to access your K/V records. There is ongoing work in TiKV to support S3 directly as the storage backend ( https://github.com/tikv/tikv/issues/6506 ) .
- Implementing a distributed key-value store on top of implementing Raft in Go
- Production grade databases in Rust
- Can anyone recommend tikv nosql database
- Go devs that learned Rust, what are your thoughts on it?
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Apache Pegasus – A a distributed key-value storage system
TiKV is basically a layer on top of rocksdb https://github.com/tikv/tikv/blob/956610725039835557e7516828...
- TiKV is a highly scalable, low latency, and easy to use key-value database
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Surrealdb – FOSS document-graph database, for the realtime web in Rust
> Many,many smart people…
If you look inside the code you can see the stated features are a result of underlying engine (TiKV [0] also in c and rust from pingcap). Surrealdb is standing on shoulders of giants at present, they are TiKV, FoundationDB and rocksdb. The feature set they mentioned mostly coming from TiKV at present.
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Cloud database for tomorrow's applications (written in Rust)
Hi Diggsey, great question. We are currently focussed on functionality and stability, and then will draw our attention to performance. Coming this week we have a RocksDB storage implementation. We've only just launched our initial beta version, and we know there is a lot of improvement and work to be done (some of these performance issues we know about already and are on our Github issues list).
With regards to the consistency/isolation model, SurrealDB sits on top of a number of key-value stores. By using the distributed highly-available TiKV storage backend, https://tikv.org, (and we have a FoundationDB integration in the works), the database is designed to be highly-scalable and highly-available. The same guarantees (albeit just single-node, so no high-availability or scalability) will be available with the RocksDB implementation coming this week. By sitting on top of these key-value stores, SurrealDB ensures that all transactions are ACID compliant. We don't want to go for speed (for instance by writing to /dev/null) over anything, but want SurrealDB to be a reliable and performant backend for any application. Obviously we have a way to go to catch up with PostgreSQL (launched in 1996), but we will strive to get there!
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CeresDB: A high-performance, distributed, schema-less and time-series database
If you are looking for a production ready distributed store written in Rust. Check out TiKV(https://github.com/tikv/tikv), which was also mentioned in the acknowledge section of the project's README.
There's also a full-featured distributed RDBMS called TiDB built on top of TiKV.
What are some alternatives?
linfa - A Rust machine learning framework.
redis-rs - Redis library for rust
are-we-learning-yet - How ready is Rust for Machine Learning?
rust-etcd - An etcd client library for Rust.
nushell - A new type of shell
rust-rocksdb - rust wrapper for rocksdb
neuronika - Tensors and dynamic neural networks in pure Rust.
cassandra-rs - Cassandra (CQL) driver for Rust, using the DataStax C/C++ driver under the covers.
arrow-datafusion - Apache DataFusion SQL Query Engine
rust-postgres - Native PostgreSQL driver for the Rust programming language
alacritty - A cross-platform, OpenGL terminal emulator.
diesel - A safe, extensible ORM and Query Builder for Rust