| Name | Version | Summary | date |
| mmcv-lite |
2.2.0 |
OpenMMLab Computer Vision Foundation |
2024-04-24 14:24:38 |
| mmcv |
2.2.0 |
OpenMMLab Computer Vision Foundation |
2024-04-24 14:24:28 |
| l2mac |
0.0.1 |
The LLM Automatic Computer Framework |
2024-04-23 15:59:34 |
| Jord |
0.5.4 |
None |
2024-04-19 13:31:37 |
| khandy |
0.1.10 |
Handy Utilities for Computer Vision |
2024-04-11 17:26:09 |
| ludwig |
0.10.3 |
Declarative machine learning: End-to-end machine learning pipelines using data-driven configurations. |
2024-04-08 23:26:12 |
| kano-cv |
1.12.2 |
Helpful functions for Computer Vision tasks |
2024-04-04 13:17:01 |
| glasses-detector |
1.0.1 |
Glasses classification, detection, and segmentation. |
2024-03-06 07:17:04 |
| mmcv-full |
1.7.2 |
OpenMMLab Computer Vision Foundation |
2023-12-29 15:43:17 |
| taisim2 |
0.1.6 |
Simulation Library for Multi-Robot Systems(this one works |
2023-12-01 07:02:58 |
| flowvision |
0.2.2 |
oneflow vision codebase |
2023-11-17 03:33:47 |
| extractable |
1.0.1 |
Extract tables from PDFs |
2023-11-09 07:09:31 |
| microprobe-target-riscv |
0.5.20231026142401 |
Microprobe: Microbenchmark generation framework: Target definitions for RISCV |
2023-10-26 18:33:19 |
| microprobe-target-power |
0.5.20231026142401 |
Microprobe: Microbenchmark generation framework: Target definitions for POWER |
2023-10-26 18:33:17 |
| microprobe-doc |
0.5.20231026142401 |
Microprobe: Microbenchmark generation framework: Documentation |
2023-10-26 18:33:15 |
| microprobe-core |
0.5.20231026142401 |
Microprobe: Microbenchmark generation framework: Main package |
2023-10-26 18:33:13 |
| microprobe-all |
0.5.20231026142401 |
Microprobe: Microbenchmark generation framework: A modular and extensible framework to generate microbenchmarks |
2023-10-26 18:33:11 |
| Extractable |
0.0.119 |
Extract tables from PDFs |
2023-10-21 10:32:36 |
| cr-wavelets |
0.4.0 |
Wavelets with JAX |
2023-10-15 20:18:19 |
| jouets |
0.5.1 |
Bric-à-brac de programmes mathématiques « amusants » |
2023-10-07 17:51:42 |