| Name | Version | Summary | date |
| autrainer |
0.8.0 |
A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks. |
2025-09-18 16:27:27 |
| retinal-thin-vessels |
2.2 |
A Python package for analyzing thin retinal vessels and creating vessels-thickness based weight maps |
2025-09-17 23:32:39 |
| funminks |
0.1.1 |
FunMinks — utilities around LLM endpoints and mink population tools. |
2025-09-17 23:20:22 |
| distinanet |
1.0.1 |
DistinaNet: RetinaNet with Distance Estimation for simultaneous object detection and distance estimation |
2025-09-17 11:35:02 |
| inferno-torch |
0.0.5 |
Bayesian Deep Learning in PyTorch |
2025-09-13 14:26:17 |
| cusrl |
1.1.3 |
Customizable and modular RL algorithms implemented in PyTorch |
2025-09-13 12:34:42 |
| glasses-detector |
1.0.4 |
Glasses classification, detection, and segmentation. |
2025-09-12 21:08:25 |
| pyvtorch |
1.3.1 |
Python tools to work in deep learning with PyTorch |
2025-09-12 17:26:00 |
| safetensors-dataset |
0.0.11 |
A simple but handy Python library to save PyTorch datasets in safetensors format. |
2025-09-12 11:46:57 |
| neurobridge |
0.1.9 |
Simulador distribuido de redes neuronales spiking en múltiples GPUs |
2025-09-12 05:45:26 |
| hybra |
2025.9.5 |
A module for trainable encoder/decoder filterbanks with auditory bias. |
2025-09-11 13:31:14 |
| visflow |
1.0.1 |
A comprehensive computer vision framework for training, evaluation, and visualization with support for multiple architectures and GradCAM analysis |
2025-09-11 06:30:32 |
| musical-mel-transform |
0.1.1 |
A PyTorch-based musical mel-frequency transform for audio processing |
2025-09-11 00:07:35 |
| gpu-estimator |
0.1.4 |
A Python package for estimating GPU memory requirements and the number of GPUs needed for training machine learning models |
2025-09-10 19:38:33 |
| aihpi |
0.1.5 |
AI High Performance Infrastructure - Distributed job submission for SLURM clusters |
2025-09-10 19:38:08 |
| cans-framework |
3.1.4 |
A production-ready deep learning framework for causal inference on structured, textual, and heterogeneous data |
2025-09-10 04:31:33 |
| eseg |
1.0.3 |
Models and utilities for event-based depth / segmentation (Surreal benchmark). |
2025-09-09 07:41:27 |
| lightly-train |
0.11.2 |
Train models with self-supervised learning in a single command |
2025-09-08 20:04:25 |
| kcntools |
1.0.1 |
kc ai nlp tools |
2025-09-08 08:14:01 |
| tensoneyroflow |
0.1.0 |
A unified high-level API for TensorFlow, Keras and PyTorch |
2025-09-07 13:12:34 |