| Name | Version | Summary | date |
| pyAgrum-nightly |
1.13.1.dev202404201713370971 |
Bayesian networks and other Probabilistic Graphical Models. |
2024-04-20 01:30:15 |
| torch-workflow-archiver-nightly |
2024.4.19 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-04-19 11:35:54 |
| torch-model-archiver-nightly |
2024.4.19 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-04-19 11:35:49 |
| torchserve-nightly |
2024.4.19 |
TorchServe is a tool for serving neural net models for inference |
2024-04-19 11:35:43 |
| iinfer |
0.6.9 |
iinfer: An application that executes AI model files in onnx or mmlab format. |
2024-04-15 12:39:09 |
| ctranslate2 |
4.2.0 |
Fast inference engine for Transformer models |
2024-04-10 17:23:45 |
| sagemaker-schema-inference-artifacts |
0.0.5 |
Open source library for Hugging Face Task Sample Inputs and Outputs |
2024-04-08 22:06:12 |
| deepsparse-nightly |
1.8.0.20240404 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-04-04 18:40:38 |
| sparseml-nightly |
1.8.0.20240404 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-04-04 13:52:43 |
| sparsezoo-nightly |
1.8.0.20240401 |
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes |
2024-04-01 15:48:39 |
| torchlayers-nightly |
1711930087 |
Input shape inference and SOTA custom layers for PyTorch. |
2024-04-01 00:08:27 |
| pyAgrum |
1.13.0 |
Bayesian networks and other Probabilistic Graphical Models. |
2024-03-27 19:11:37 |
| tensorrt-cu11-libs |
10.0.0b6 |
TensorRT Libraries |
2024-03-26 22:53:37 |
| tensorrt-dispatch-cu11-libs |
10.0.0b6 |
TensorRT Libraries |
2024-03-26 22:51:36 |
| tensorrt-cu11 |
10.0.0b6 |
A high performance deep learning inference library |
2024-03-26 22:49:21 |
| tensorrt-dispatch-cu11-bindings |
10.0.0b6 |
A high performance deep learning inference library |
2024-03-26 22:46:54 |
| tensorrt-dispatch-cu11 |
10.0.0b6 |
A high performance deep learning inference library |
2024-03-26 22:44:04 |
| tensorrt-lean-cu12-libs |
10.0.0b6 |
TensorRT Libraries |
2024-03-26 22:43:50 |
| tensorrt-lean-cu12-bindings |
10.0.0b6 |
A high performance deep learning inference library |
2024-03-26 22:43:28 |
| tensorrt-cu12-bindings |
10.0.0b6 |
A high performance deep learning inference library |
2024-03-26 22:37:39 |