| Name | Version | Summary | date |
| tensorflow-lattice |
2.1.0 |
A library that implements optionally monotonic lattice based models. |
2024-03-23 00:17:16 |
| mlprimitives |
0.4.0 |
Pipelines and primitives for machine learning and data science. |
2024-03-22 17:41:01 |
| tensorflow-serving-api-gpu |
2.16.1 |
TensorFlow Serving Python API. |
2024-03-22 02:01:08 |
| tensorflow-serving-api |
2.16.1 |
TensorFlow Serving Python API. |
2024-03-22 02:01:06 |
| peft |
0.10.0 |
Parameter-Efficient Fine-Tuning (PEFT) |
2024-03-21 10:17:52 |
| labml |
0.5.1 |
Organize Machine Learning Experiments |
2024-03-21 07:36:43 |
| saliency |
0.2.1 |
Framework-agnostic saliency methods |
2024-03-20 19:51:30 |
| spark-nlp |
5.3.2 |
John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment. |
2024-03-20 19:09:21 |
| tensorflow-macos |
2.16.1 |
TensorFlow is an open source machine learning framework for everyone. |
2024-03-20 18:41:40 |
| jcopdl |
2.3.1 |
J.COp DL is a deep Learning package to complement pytorch workflow |
2024-03-20 02:13:15 |
| diffusers |
0.27.2 |
State-of-the-art diffusion in PyTorch and JAX. |
2024-03-20 01:54:25 |
| image-augmentation |
0.0.4 |
multidim_image_augmentation provides Tensorflow operations for 2D & 3D image augmentation. |
2024-03-19 14:46:49 |
| chex |
0.1.86 |
Chex: Testing made fun, in JAX! |
2024-03-19 10:05:29 |
| mindspore-dev |
2.2.0.dev20240317 |
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios. |
2024-03-16 21:02:21 |
| mula |
0.0.5 |
mula: Tool for moodle vpl operations |
2024-03-16 12:47:27 |
| nett-benchmarks |
0.3.1 |
A testbed for comparing the learning abilities of newborn animals and autonomous artificial agents. |
2024-03-15 19:58:43 |
| torch-workflow-archiver |
0.2.12 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-03-14 21:47:41 |
| torch-model-archiver |
0.10.0 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-03-14 21:47:38 |
| torchserve |
0.10.0 |
TorchServe is a tool for serving neural net models for inference |
2024-03-14 21:47:35 |
| tensorflow-cpu-aws |
2.15.1 |
TensorFlow is an open source machine learning framework for everyone. |
2024-03-14 16:29:24 |