| Name | Version | Summary | date |
| torch-workflow-archiver-nightly |
2024.12.21 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-12-21 11:41:17 |
| torch-model-archiver-nightly |
2024.12.21 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-12-21 11:41:15 |
| torchserve-nightly |
2024.12.21 |
TorchServe is a tool for serving neural net models for inference |
2024-12-21 11:41:09 |
| clearml-serving |
1.3.4 |
clearml-serving - Model-Serving Orchestration and Repository Solution |
2024-12-18 21:41:08 |
| spark-nlp |
5.5.2 |
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. |
2024-12-18 16:04:11 |
| clearml |
1.17.0 |
ClearML - Auto-Magical Experiment Manager, Version Control, and MLOps for AI |
2024-12-18 15:41:51 |
| transformers |
4.47.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2024-12-17 15:42:41 |
| suave-ml |
0.1.1a1 |
Deep learning model for label information-guided dimensionality reduction and multi-task learning. |
2024-12-17 02:31:44 |
| accelerate |
1.2.1 |
Accelerate |
2024-12-13 18:54:33 |
| auto-diffusers |
2.0.14 |
Customized diffusers with model search and other functions. |
2024-12-06 14:12:17 |
| diffusers-qaic |
0.24.0 |
State-of-the-art diffusion in PyTorch and JAX. |
2024-12-05 15:19:37 |
| minimalist-neural-networks |
1.1 |
A minimalist implementation of deep neural networks which requires few dependencies. |
2024-11-30 03:56:11 |
| Wolaita-POST |
1.1.3 |
A POS tagger for the Wolaita language using deep learning |
2024-11-24 19:51:03 |
| adapters |
1.0.1 |
A Unified Library for Parameter-Efficient and Modular Transfer Learning |
2024-11-02 18:46:40 |
| clearml-agent |
1.9.2 |
ClearML Agent - Auto-Magical DevOps for Deep Learning |
2024-10-28 16:32:22 |
| diffusers |
0.31.0 |
State-of-the-art diffusion in PyTorch and JAX. |
2024-10-22 14:13:23 |
| deep-learning-lab |
1.0.1 |
This package can be used to get code for deep learning |
2024-10-17 18:37:26 |
| peft |
0.13.2 |
Parameter-Efficient Fine-Tuning (PEFT) |
2024-10-11 11:42:21 |
| jcopdl |
2.3.3 |
J.COp DL is a deep Learning package to complement pytorch workflow |
2024-10-09 09:28:55 |
| zebra-qa |
1.0.0 |
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering |
2024-10-08 17:49:46 |