| Name | Version | Summary | date |
| optimum-neuron |
0.0.26 |
Optimum Neuron is the interface between the Hugging Face Transformers and Diffusers libraries and AWS Trainium and Inferentia accelerators. It provides a set of tools enabling easy model loading, training and inference on single and multiple neuron core settings for different downstream tasks. |
2024-11-15 15:54:07 |
| estimagic |
0.5.1 |
Tools to solve difficult numerical optimization problems. |
2024-11-13 17:11:56 |
| optimagic |
0.5.1 |
Tools to solve difficult numerical optimization problems. |
2024-11-13 17:03:15 |
| pysmatch |
0.7 |
Propensity Score Matching(PSM) on python |
2024-11-13 06:29:48 |
| gemlib |
0.12.1 |
GEMlib scientific compute library for epidemic modelling |
2024-11-12 05:27:28 |
| geo-espresso |
0.3.16 |
Earth Science PRoblems for the Evaluation of Strategies, Solvers and Optimizers |
2024-11-12 02:28:18 |
| pyabc |
0.12.15 |
Distributed, likelihood-free ABC-SMC inference |
2024-11-11 09:22:18 |
| BayesicFitting |
3.2.2 |
A Python Toolbox for Bayesian fitting. |
2024-11-07 17:13:24 |
| metalm-xclient |
0.1.0 |
雪浪模型推理服务的客户端 |
2024-11-04 13:31:32 |
| everai |
0.2.38 |
Client library to manage everai infrastructure |
2024-11-01 07:05:30 |
| optimum |
1.23.3 |
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality. |
2024-10-29 17:43:32 |
| tritonclient |
2.51.0 |
Python client library and utilities for communicating with Triton Inference Server |
2024-10-28 20:27:32 |
| skeem |
0.1.1 |
Infer SQL DDL statements from tabular data |
2024-10-22 07:37:52 |
| causalbench-asu |
0.1rc9 |
Spatio Temporal Causal Benchmarking Platform |
2024-10-21 23:25:24 |
| torch-tensorrt |
2.5.0 |
Torch-TensorRT is a package which allows users to automatically compile PyTorch and TorchScript modules to TensorRT while remaining in PyTorch |
2024-10-18 01:21:50 |
| friendli-client |
1.5.6 |
Client of Friendli Suite. |
2024-10-17 04:58:33 |
| fiestaEM |
0.0.1 |
Fast inference of electromagnetic signals with JAX |
2024-10-17 00:36:58 |
| inference-server |
1.3.1 |
Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using your own Docker container image. |
2024-10-09 07:19:14 |
| hot-fair-utilities |
1.3.0 |
Utilities for AI - Assisted Mapping fAIr |
2024-10-04 09:01:15 |
| bedrock-inference |
0.0.13 |
Login into your AWS and call Bedrock models in Python |
2024-09-30 10:16:12 |