Name | Version | Summary | date |
---|---|---|---|
pyAgrum-nightly | 2.2.0.9.dev202508031753652324 | Bayesian networks and other Probabilistic Graphical Models. | 2025-08-03 02:22:52 |
coeai | 2.0.0 | Client to interact with COE AI-hosted LLM models | 2025-07-25 09:24:15 |
pyAgrum | 2.2.0 | Bayesian networks and other Probabilistic Graphical Models. | 2025-07-24 11:38:52 |
tensorrt | 10.13.0.35 | TensorRT Metapackage | 2025-07-22 22:28:47 |
tensorrt-dispatch-cu12-bindings | 10.13.0.35 | A high performance deep learning inference library | 2025-07-22 19:41:22 |
tensorrt-cu12-bindings | 10.13.0.35 | A high performance deep learning inference library | 2025-07-22 19:39:02 |
tensorrt-lean-cu12-bindings | 10.13.0.35 | A high performance deep learning inference library | 2025-07-22 19:37:51 |
tensorrt-dispatch-cu11-bindings | 10.13.0.35 | A high performance deep learning inference library | 2025-07-22 19:35:49 |
tensorrt-cu11-bindings | 10.13.0.35 | A high performance deep learning inference library | 2025-07-22 19:32:14 |
tensorrt-lean-cu11-bindings | 10.13.0.35 | A high performance deep learning inference library | 2025-07-22 19:29:49 |
tensorrt-dispatch-cu12-libs | 10.13.0.35 | TensorRT Libraries | 2025-07-22 19:24:04 |
tensorrt-cu12-libs | 10.13.0.35 | TensorRT Libraries | 2025-07-22 19:23:23 |
tensorrt-lean-cu12-libs | 10.13.0.35 | TensorRT Libraries | 2025-07-22 19:22:46 |
tensorrt-dispatch-cu11-libs | 10.13.0.35 | TensorRT Libraries | 2025-07-22 19:22:26 |
tensorrt-cu11-libs | 10.13.0.35 | TensorRT Libraries | 2025-07-22 19:21:42 |
tensorrt-lean-cu11-libs | 10.13.0.35 | TensorRT Libraries | 2025-07-22 19:21:17 |
iinfer | 0.11.2.3 | iinfer: An application that executes AI model files in onnx or mmlab format. | 2025-07-13 12:21:29 |
tensorrt-llm | 0.20.0 | TensorRT-LLM: A TensorRT Toolbox for Large Language Models | 2025-06-19 02:38:47 |
unhallucinated-faster-whisper | 0.0.3 | Faster Whisper transcription with CTranslate2 | 2025-02-11 18:05:58 |
torch-workflow-archiver-nightly | 2025.2.7 | Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference | 2025-02-07 11:27:25 |
hour | day | week | total |
---|---|---|---|
57 | 1410 | 10532 | 305947 |