Name | Version | Summary | date |
torch-workflow-archiver-nightly |
2024.9.13 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-09-13 11:45:56 |
torch-model-archiver-nightly |
2024.9.13 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-09-13 11:45:53 |
torchserve-nightly |
2024.9.13 |
TorchServe is a tool for serving neural net models for inference |
2024-09-13 11:45:48 |
relik |
1.0.7 |
Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget |
2024-09-12 10:24:19 |
micrograph-cleaner-em |
0.37 |
Deep learning for cryo-EM micrograph cleaning |
2024-09-09 21:18:33 |
multi-model-server-gpu |
0.0.2 |
(Altered for multiprocessing GPU Inference) Multi Model Server is a tool for serving neural net models for inference |
2024-09-09 19:18:04 |
accelerate |
0.34.2 |
Accelerate |
2024-09-05 16:45:20 |
clearml-agent |
1.9.1 |
ClearML Agent - Auto-Magical DevOps for Deep Learning |
2024-09-03 10:19:12 |
diffusers |
0.30.2 |
State-of-the-art diffusion in PyTorch and JAX. |
2024-08-31 00:05:36 |
spark-nlp |
5.4.2 |
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. |
2024-08-28 16:05:47 |
clearml |
1.16.4 |
ClearML - Auto-Magical Experiment Manager, Version Control, and MLOps for AI |
2024-08-27 19:47:15 |
torchclust |
1.0.0 |
Scalable Implementations of clustering algorithms written in Pytorch for running on the GPU. |
2024-08-22 08:52:32 |
divyanx-transformers |
4.45.0.dev0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2024-08-21 09:24:22 |
transformers |
4.44.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2024-08-20 17:51:49 |
clearml-session |
0.16.0 |
clearml-session - CLI for launching JupyterLab / VSCode on a remote machine |
2024-08-19 19:18:27 |
fast-bert |
2.0.26 |
AI Library using BERT |
2024-08-19 09:45:06 |
lstm-forecast |
0.1.2 |
A package for LSTM-based financial time series forecasting |
2024-08-10 22:23:18 |
adapters |
1.0.0 |
A Unified Library for Parameter-Efficient and Modular Transfer Learning |
2024-08-10 15:17:59 |
ludwig |
0.10.4 |
Declarative machine learning: End-to-end machine learning pipelines using data-driven configurations. |
2024-07-30 00:29:49 |
peft |
0.12.0 |
Parameter-Efficient Fine-Tuning (PEFT) |
2024-07-24 11:52:54 |