Top 7 Python gpu-acceleration Projects
-
GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
-
opt_einsum
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
RLSolver
Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
-
xrt
Package xrt (XRayTracer) is a python software library for ray tracing and wave propagation in x-ray regime. It is primarily meant for modeling synchrotron sources, beamlines and beamline elements. (by kklmn)
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Project mention: What are your favorite tools or components in the Kafka ecosystem? | /r/apachekafka | 2023-05-31For example, CLIs, UIs, monitoring tools / integrations, cluster administration, stream processing libraries (Flink, Kafka Streams, smaller / newer libs), etc? Anything in the ML / AI space (e.g. a quick Google search came up with https://github.com/ertis-research/kafka-ml).
Index
What are some of the best open-source gpu-acceleration projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | GenerativeAIExamples | 1,502 |
2 | opt_einsum | 802 |
3 | kafka-ml | 144 |
4 | RLSolver | 106 |
5 | dpnp | 91 |
6 | xrt | 77 |
7 | tensorexperiments | 36 |
Sponsored