| Name | Version | Summary | date |
| PyNeuralNet |
1.0.9 |
PyNeuralNet is a python library for prototyping and building neural networks. PyNeuralNet uses PyTorch as a computational backend for deep learning models. |
2024-06-13 07:25:36 |
| terge |
0.1.1 |
An easy-to-use Python library for merging PyTorch models. |
2024-06-13 05:05:57 |
| sparseml-nightly |
1.8.0.20240612 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-06-12 20:34:44 |
| growingnn |
0.0.9 |
growingnn is a cutting-edge Python package that introduces a dynamic neural network architecture learning algorithm. This innovative approach allows the neural network to adapt its structure during training, optimizing both weights and architecture. Leveraging a Stochastic Gradient Descent-based optimizer and guided Monte Carlo tree search, the package provides a powerful tool for enhancing model performance. |
2024-06-12 19:17:54 |
| connectome-interpreter |
1.10.0 |
A tool for connectomics data interpretation |
2024-06-09 23:48:31 |
| netron |
7.7.2 |
Viewer for neural network, deep learning, and machine learning models |
2024-06-08 03:46:28 |
| hypothesis-torch |
0.7.5 |
Hypothesis strategies for various Pytorch structures, including tensors and modules. |
2024-06-07 02:38:13 |
| nntool |
0.7.0 |
neural network tool for research |
2024-06-06 05:01:01 |
| mljar-supervised |
1.1.9 |
Automated Machine Learning for Humans |
2024-06-03 11:50:12 |
| degann |
1.1.5 |
Library for generating artificial neural networks for modeling the behavior of dynamic systems |
2024-05-31 08:36:28 |
| keras-mdn-layer |
0.4.1 |
An MDN Layer for Keras using TensorFlow's distributions module |
2024-05-26 12:22:26 |
| sparseml |
1.7.2 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-05-20 18:05:43 |
| SimpleNetMNIST |
1.0.4 |
SimpleNetMNIST. Based off an implementation of a simple neural network for MNIST classification in PyTorch. Created by Edward Ji (https://github.com/Edward-Ji). |
2024-05-18 13:26:14 |
| deepsparse-nightly |
1.8.0.20240502 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-05-06 19:42:19 |
| sparsezoo-nightly |
1.8.0.20240506 |
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes |
2024-05-06 19:37:51 |
| ozonetel-ai |
0.0.14 |
The Ozonetel AI project is designed to provide a user-friendly interface for software development using Ozonetel's in-house AI libraries, models, and software solutions. It offers seamless integration with Ozonetel's advanced AI capabilities, allowing developers to harness the power of AI to enhance their applications. |
2024-05-06 05:53:51 |
| leafy-spurge-dataset |
1.0 |
Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery |
2024-05-03 09:03:10 |
| NNSOM |
1.8.1 |
A SOM package |
2024-05-01 15:07:48 |
| npnn |
0.1.1 |
NumPy Neural Network |
2024-04-26 12:16:38 |
| e3x |
1.0.2 |
JAX-Library for building E(3)-equivariant deep learning architectures based on Flax. |
2024-04-05 09:29:18 |