| Name | Version | Summary | date |
| inferencia-causal |
0.0.1 |
Tecnicas de inferencia |
2023-11-21 15:40:42 |
| digitalhub-core-nefertem |
0.0.6 |
Nefertem runtime for DHCore |
2023-11-21 13:37:29 |
| vp4onnx |
0.1.1 |
vp4onnx: Perform inference using an image AI model in onnx format. |
2023-11-19 15:52:17 |
| inference-causal |
0.1.0 |
Tecnicas de inferencia |
2023-11-11 15:24:34 |
| pyabc |
0.12.13 |
Distributed, likelihood-free ABC-SMC inference |
2023-11-08 14:55:04 |
| studiolab-ml |
0.1.1 |
STUDIOLAB ML inference Package |
2023-11-07 06:15:03 |
| causaltensor |
0.1.8 |
Package for causal inference in panels |
2023-11-06 05:36:06 |
| lf2i |
0.3.1 |
Likelihood-Free Frequentist Inference |
2023-11-03 00:20:20 |
| synthetic-cognition |
0.2.3 |
Synthetic Cognition general inference architecture for language model agents DEMO |
2023-11-01 12:14:53 |
| hot-fair-utilities |
1.2.3 |
Utilities for AI - Assisted Mapping fAIr |
2023-10-26 13:58:07 |
| 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 |
| causallib |
0.9.6 |
A Python package for flexible and modular causal inference modeling |
2023-10-25 10:13:59 |
| sm-serverless-benchmarking |
0.2.3 |
Benchmark sagemaker serverless endpoints for cost and performance |
2023-10-09 16:59:55 |
| dynesty |
2.1.3 |
A dynamic nested sampling package for computing Bayesian posteriors and evidences. |
2023-10-04 22:38:28 |
| lampe |
0.8.2 |
Likelihood-free AMortized Posterior Estimation with PyTorch |
2023-10-04 09:24:22 |
| hidet |
0.3.0 |
Hidet: a compilation-based DNN inference framework. |
2023-09-28 17:25:04 |
| pyoptmat |
1.3.5 |
Statistical inference for material models |
2023-09-22 16:58:19 |
| jimGW |
0.1.1 |
Gravitatioanl wave data analysis tool in Jax |
2023-09-18 20:10:19 |
| torchserve-ag |
0.8.2b20230918 |
TorchServe is a tool for serving neural net models for inference |
2023-09-18 18:01:25 |
| gpry |
2.0.1 |
A package for fast bayesian inference of expensive Likelihoods |
2023-09-14 11:10:57 |