CudaSHA256 VS raft

Compare CudaSHA256 vs raft and see what are their differences.

CudaSHA256

Simple tool to calculate sha256 on GPU using Cuda (by Horkyze)

raft

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications. (by rapidsai)
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CudaSHA256 raft
1 3
75 623
- 6.1%
2.6 9.5
5 months ago 6 days ago
Cuda Cuda
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

CudaSHA256

Posts with mentions or reviews of CudaSHA256. We have used some of these posts to build our list of alternatives and similar projects.

raft

Posts with mentions or reviews of raft. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-13.

What are some alternatives?

When comparing CudaSHA256 and raft you can also consider the following projects:

faiss-rs - Rust language bindings for Faiss

faiss - A library for efficient similarity search and clustering of dense vectors.

qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python

CML_AMP_Intelligent-QA-Chatbot-with-NiFi-Pinecone-and-Llama2 - The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.

Milvus - A cloud-native vector database, storage for next generation AI applications

hnsqlite - hnsqlite integrates hnswlib and sqlite for simple text embedding search

vimGPT - Browse the web with GPT-4V and Vimium

PyMISP - Python library using the MISP Rest API

hnswlib - Header-only C++/python library for fast approximate nearest neighbors

hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows