RedisAI / aibenchLinks
AIBench, a tool for comparing and evaluating AI serving solutions. forked from [tsbs](https://github.com/timescale/tsbs) and adapted to AI serving use case
☆20Updated last year
Alternatives and similar repositories for aibench
Users that are interested in aibench are comparing it to the libraries listed below
Sorting:
- RedisAI showcase☆57Updated last year
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- MLFlow Deployment Plugin for Ray Serve☆46Updated 3 years ago
- HSNW module for Redis☆59Updated 5 years ago
- Python client for RedisAI☆88Updated 2 years ago
- Machine Learning Inference Graph Spec☆21Updated 6 years ago
- A deep ranking personalization framework☆133Updated 2 years ago
- ML-Powered Developer Tools, using Kubeflow☆54Updated 4 years ago
- Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN☆117Updated 4 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆158Updated 3 weeks ago
- Machine learning utilities for model conversion, serialization, loading etc☆27Updated 2 years ago
- Distribution transparent Machine Learning experiments on Apache Spark☆91Updated last year
- Fork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch☆21Updated this week
- ☆31Updated 2 years ago
- Cortex-compatible model server for Python and TensorFlow☆17Updated 3 years ago
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆45Updated 2 years ago
- A visual dataflow programming language for NVIDIA's RAPIDS, based on AlvarBer/Persimmon☆14Updated 6 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated 2 years ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Tiny Dask Docker images based on Alpine Linux☆17Updated 6 years ago
- Neural Solr = Solr 9 + Mighty Inference + Node☆18Updated 3 years ago
- [ARCHIVED] C GPU DataFrame Library☆139Updated 7 years ago
- Machine Learning for Information Retrieval☆86Updated 7 months ago
- Code for tutorials and examples☆67Updated 2 years ago
- ALMa (Active Learning Manager) Keeps track of labeled and unlabeled data for active learning☆42Updated 5 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆41Updated 2 years ago
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 5 years ago
- Common build environment used by gpuCI for building RAPIDS☆19Updated 2 years ago