| Name | Version | Summary | date |
| parallel-utils |
1.3.1 |
This library implements a class Monitor, as defined by Per Brinch Hansen and C.A.R. Hoare, for synchronization and concurrent management of threads and processes in Python. It also provides other functions to ease the creation and collection of results for both threads and processes. |
2024-03-08 08:45:19 |
| torchfed |
0.0.2 |
A unified federated learning framework for PyTorch. |
2024-02-22 04:23:36 |
| confluent |
0.3.1 |
confluent keeps your language specific configs in sync |
2024-02-21 09:20:10 |
| rearq |
0.2.9 |
A distributed task queue built with asyncio and redis, with built-in web interface |
2024-02-20 13:30:14 |
| dwq |
0.1.0 |
dwq: a Disque based work queue |
2024-01-30 07:36:56 |
| dask-gateway-server |
2024.1.0 |
A multi-tenant server for securely deploying and managing multiple Dask clusters. |
2024-01-16 08:43:11 |
| dask-gateway |
2024.1.0 |
A client library for interacting with a dask-gateway server |
2024-01-16 08:43:05 |
| claws |
0.0.21 |
The Crossref Labs AWS tooling system. |
2024-01-15 15:20:42 |
| hydra-slayer |
0.5.0 |
A framework for elegantly configuring complex applications |
2024-01-04 21:13:50 |
| e2eAIOK-recdp |
1.2.0 |
A data processing bundle for spark based recommender system operations |
2023-12-22 01:59:15 |
| pyrecdp |
1.2.0 |
A data processing bundle for spark based recommender system operations |
2023-12-22 00:56:12 |
| oracle-mlm-insights |
1.0.2.dev130 |
ML Observability Insights Library |
2023-12-12 11:50:14 |
| spark-xarray |
0.1.dev0 |
|
2023-12-06 12:23:55 |
| taskiq-aiohttp |
0.3.1 |
Taskiq integration with AioHTTP framework |
2023-11-30 11:38:43 |
| asyncio-queue |
0.2 |
A simple worker task queue with async support |
2023-11-21 03:57:28 |
| narq |
0.2.1 |
A distributed task queue built with asyncio and redis, with built-in web interface |
2023-11-12 01:29:19 |
| deep-nccl-wrapper |
1.0.2 |
Deep-NCCL is an AI-Accelerator communication framework for NVIDIA-NCCL. It implements optimized all-reduce, all-gather, reduce, broadcast, reduce-scatter, all-to-all,as well as any send/receive based communication pattern.It has been optimized to achieve high bandwidth on aliyun machines using PCIe, NVLink, NVswitch,as well as networking using InfiniBand Verbs, eRDMA or TCP/IP sockets. |
2023-11-09 08:11:48 |
| GrADySIM |
0.0.1 |
A framework for implementing distributed algorithms in a simulated network environment |
2023-11-07 12:21:30 |
| zeroc-ice |
3.7.10 |
Ice is a comprehensive RPC framework with support for Python, C++, .NET, Java, JavaScript and more. |
2023-11-07 09:38:43 |
| namekoplus |
0.5.3 |
A lightweight Python distributed microservice solution |
2023-11-06 09:42:03 |