| Name | Version | Summary | date |
| adapters |
1.1.0 |
A Unified Library for Parameter-Efficient and Modular Transfer Learning |
2025-01-28 20:26:26 |
| imagedatasetanalyzer |
0.1.6 |
Image dataset analyzer using image embedding models and clustering methods. |
2025-01-27 09:06:50 |
| torch-workflow-archiver-nightly |
2025.1.26 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2025-01-26 11:25:47 |
| torch-model-archiver-nightly |
2025.1.26 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2025-01-26 11:25:45 |
| torchserve-nightly |
2025.1.26 |
TorchServe is a tool for serving neural net models for inference |
2025-01-26 11:25:38 |
| auto-diffusers |
2.0.19 |
Customized diffusers with model search and other functions. |
2025-01-25 02:57:29 |
| transformers |
4.48.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-01-20 16:36:07 |
| clearml-agent |
1.9.3 |
ClearML Agent - Auto-Magical DevOps for Deep Learning |
2025-01-19 14:43:56 |
| clearml |
1.17.1 |
ClearML - Auto-Magical Experiment Manager, Version Control, and MLOps for AI |
2025-01-19 14:12:30 |
| accelerate |
1.3.0 |
Accelerate |
2025-01-17 15:42:21 |
| suave-ml |
0.1.2a1 |
A deep learning model (hybrid VAE) implementation for label information-guided dimensionality reduction and multi-task learning. |
2025-01-09 00:09:00 |
| t-draft-123 |
4.48.0.dev0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-01-07 14:25:43 |
| clearml-session |
0.17.0 |
clearml-session - CLI for launching JupyterLab / VSCode on a remote machine |
2025-01-05 10:21:07 |
| zebra-qa |
1.0.1 |
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering |
2024-12-26 15:24:18 |
| 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 |
| 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 |
| diffusers |
0.31.0 |
State-of-the-art diffusion in PyTorch and JAX. |
2024-10-22 14:13:23 |