| Name | Version | Summary | date |
| nemo-evaluator-launcher |
0.1.20 |
Launcher for the evaluations provided by NeMo Evaluator containers with different runtime backends |
2025-10-23 01:35:15 |
| lightning-thunder |
0.2.6 |
Lightning Thunder is a source-to-source compiler for PyTorch, enabling PyTorch programs to run on different hardware accelerators and graph compilers. |
2025-10-22 04:54:03 |
| medvae |
0.1.6 |
MedVAE is a family of six medical image autoencoders that can encode high-dimensional medical images into latent representations. |
2025-10-22 04:34:42 |
| nemo-evaluator |
0.1.18 |
Common utilities for NVIDIA evaluation frameworks |
2025-10-22 01:35:48 |
| mteb |
2.1.0 |
Massive Text Embedding Benchmark |
2025-10-21 18:51:00 |
| ejkernel |
0.0.2 |
Accelerate, Optimize performance with streamlined training and serving options with JAX. |
2025-10-21 18:38:55 |
| finetuning-scheduler |
2.9.0 |
A PyTorch Lightning extension that enhances model experimentation with flexible fine-tuning schedules. |
2025-10-20 22:13:31 |
| lazyslide |
0.9.2 |
Accessible and interoperable whole slide image analysis |
2025-10-20 19:41:21 |
| deep-trainer |
0.1.7 |
Helper to train deep neural networks |
2025-10-20 17:24:38 |
| nabla-ml |
25.10191431 |
Dynamic neural networks and function transformations in Python + Mojo |
2025-10-19 12:31:37 |
| nntool |
1.8.4 |
NNTool is a package built on top of submitit designed to provide simple abstractions to conduct experiments on Slurm for machine learning research. |
2025-10-17 02:39:41 |
| nnsight |
0.5.9 |
Package for interpreting and manipulating the internals of deep learning models. |
2025-10-14 22:42:24 |
| littlelearn |
0.1.8 |
machine learning ecosystem |
2025-10-14 15:38:39 |
| lightning-sdk |
2025.10.14 |
SDK to develop using Lightning AI Studios |
2025-10-14 14:33:41 |
| torchmetrics-ext |
0.3.1 |
An extension of torchmetrics package. |
2025-10-10 22:10:57 |
| seetrain-ml |
0.1.8 |
深度学习实验跟踪工具 |
2025-10-10 10:19:54 |
| litdata |
0.2.57 |
The Deep Learning framework to train, deploy, and ship AI products Lightning fast. |
2025-10-06 20:31:34 |
| segmentation-model-zoo |
1.0.1 |
segmentation-model-zoo |
2025-09-17 11:17:03 |
| inferno-torch |
0.0.5 |
Bayesian Deep Learning in PyTorch |
2025-09-13 14:26:17 |
| pyvtorch |
1.3.1 |
Python tools to work in deep learning with PyTorch |
2025-09-12 17:26:00 |