| Name | Version | Summary | date |
| cynet |
2.0.4 |
Learning Point Processes Using Deep Granger Nets |
2024-02-26 02:06:19 |
| ANU-inversion-course |
0.1.1 |
ANU Inversion Course Package |
2024-02-16 04:10:46 |
| infer-camembert |
0.2.0 |
Python implementation for text classification inference with CamemBERT fine-tuned models |
2024-02-08 09:52:19 |
| samplex |
0.0.2 |
Samplers in MLX |
2024-02-02 21:44:41 |
| psimpy |
0.2.0 |
Predictive and probabilistic simulation tools. |
2024-01-26 15:44:37 |
| glai |
0.1.3 |
Easy deployment of quantized llama models on cpu |
2024-01-13 19:04:27 |
| llama-memory |
0.0.1a1 |
Easy deployment of quantized llama models on cpu |
2024-01-09 01:59:55 |
| 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 |
| 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 |
| 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 |
| 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 |
| sm-serverless-benchmarking |
0.2.3 |
Benchmark sagemaker serverless endpoints for cost and performance |
2023-10-09 16:59:55 |
| 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 |