| Name | Version | Summary | date |
| compressed-tensors-nightly |
0.3.3.20240531 |
Library for utilization of compressed safetensors of neural network models |
2024-05-31 00:08:45 |
| sparseml-nightly |
1.8.0.20240528 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-05-28 18:57:45 |
| sparseml |
1.7.2 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-05-20 18:05:43 |
| compressed-tensors |
0.3.3 |
Library for utilization of compressed safetensors of neural network models |
2024-05-07 15:30:55 |
| deepsparse-nightly |
1.8.0.20240502 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-05-06 19:42:19 |
| sparsezoo-nightly |
1.8.0.20240506 |
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes |
2024-05-06 19:37:51 |
| deepsparse |
1.7.1 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-03-19 17:49:49 |
| sparsify-nightly |
1.7.0.20240304 |
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint |
2024-03-05 13:38:57 |
| sparsify |
1.6.1 |
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint |
2023-12-20 14:28:37 |
| sparsezoo |
1.6.1 |
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes |
2023-12-20 14:23:57 |
| deepsparse-ent |
1.6.0 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2023-12-04 16:24:07 |
| optimum-deepsparse |
0.1.0.dev1 |
Optimum DeepSparse is an extension of the Hugging Face Transformers library that integrates the DeepSparse inference runtime. DeepSparse offers GPU-class performance on CPUs, making it possible to run Transformers and other deep learning models on commodity hardware with sparsity. Optimum DeepSparse provides a framework for developers to easily integrate DeepSparse into their applications, regardless of the hardware platform. |
2023-10-26 02:02:45 |
Neuralmagic, Inc.