| Name | Version | Summary | date |
| mmdlp |
0.0.1 |
Deep Learning Projects base on OpenMMLab. |
2024-10-29 15:26:05 |
| mp-pyrho |
0.4.5 |
Tools for re-griding periodic volumetric quantum chemistry data for machine-learning purposes. |
2024-10-22 22:21:33 |
| data-pipeline-ml-caqtl-visualization |
0.2.1 |
ML visualization pipeline for caQTL evaluation |
2024-10-22 02:37:07 |
| randomscm |
0.1.2 |
The Bootstrap aggregating version of the great SCM |
2024-10-18 11:37:46 |
| GraphTsetlinMachine |
0.3.1 |
Graph Tsetlin Machine |
2024-10-17 22:02:01 |
| julearn |
0.3.4 |
Juelich Machine Learning Library |
2024-10-17 14:13:46 |
| tensorrt-yolo |
4.3.1 |
Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds. |
2024-10-14 08:21:19 |
| danila-lib |
3.1.0 |
This is the module for detecting and classifying text on rama pictures |
2024-10-11 14:07:51 |
| ultralytics-v11 |
8.3.9 |
Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-10-10 12:38:53 |
| molina |
0.0.1 |
Rust/Python Synthetic Integration for an agentic-LLM approach to build a research agents for local knowledge representation |
2024-10-09 18:22:12 |
| UltraDetect |
8.3.18 |
Customized Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-10-09 10:24:10 |
| pybboxes |
0.2.0 |
Light Weight Toolkit for Bounding Boxes |
2024-10-07 07:24:21 |
| tts-eval |
0.0.1 |
TTS Evaluation |
2024-10-06 15:45:30 |
| rustytorch |
0.1.0 |
tinytorch: torch.Tensor -> CUDA |
2024-10-05 11:16:05 |
| rustymimi |
0.2.2 |
moshi, a real-time voice AI |
2024-09-22 14:45:33 |
| pytorchcv |
0.0.73 |
Computer vision models for PyTorch |
2024-09-18 17:40:07 |
| patsemb |
0.1.1 |
PaTSEmb: Pattern-based Time Series Embedding |
2024-09-18 12:18:04 |
| ultralytics-export-to-rknn |
2.0.1 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-09-17 09:31:34 |
| llm-confidence |
0.2.3 |
A Python package for extracting confidence scores from LLM models outputs, particularly using log probabilities |
2024-09-15 17:16:31 |
| yolov5-thin |
6.1.6 |
Packaged version of the Yolov5 object detector |
2024-09-12 07:51:49 |