| Name | Version | Summary | date |
| deepsparse |
1.7.1 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-03-19 17:49:49 |
| imgaug-denk |
0.4.4 |
Image augmentation library for deep neural networks |
2024-03-14 08:24:12 |
| mnnlib |
0.3.11 |
Minejerik neural network library |
2024-03-12 12:22:37 |
| CompNeuroPy |
1.0.1 |
General package for computational neuroscience with ANNarchy. |
2024-03-07 12:45:48 |
| sparsify-nightly |
1.7.0.20240304 |
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint |
2024-03-05 13:38:57 |
| hox |
1.0.3 |
Lightweight nn library project. |
2024-02-17 09:49:02 |
| growingnn |
0.0.6 |
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. |
2024-02-09 16:34:12 |
| ccsmeth |
0.5.0 |
Detecting DNA methylation from PacBio CCS reads |
2024-01-30 12:19:03 |
| pytorch-tabular |
1.1.0 |
A standard framework for using Deep Learning for tabular data |
2024-01-15 02:46:27 |
| neurodiffeq |
0.6.3 |
A light-weight & flexible library for solving differential equations using neural networks based on PyTorch. |
2024-01-04 18:30:25 |
| eznet-keras |
1.1.2 |
Easily build Keras models: utils for training/testing, built-in ANN, CNN, RNN models, modular Dense and Convolutional blocks, etc. |
2024-01-02 20:19:35 |
| sparsify |
1.6.1 |
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint |
2023-12-20 14:28:37 |
| sparseml |
1.6.1 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2023-12-20 14:24:12 |
| sparsezoo |
1.6.1 |
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes |
2023-12-20 14:23:57 |
| netwk |
2.12.5 |
Create fast, optimized, and easy-to-use neural networks. |
2023-12-17 17:08:11 |
| pileoffeather |
0.4.2 |
Lightweight and easy to use ml library for small projects, create a neural network in minutes. |
2023-12-06 22:17:01 |
| deepsparse-ent |
1.6.0 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2023-12-04 16:24:07 |
| learntools |
0.0.20 |
Reinforcement Learning with Numpy |
2023-11-22 19:15:54 |
| nnbma |
1.0.0 |
Neural network-based model approximation (nnbma) |
2023-11-20 12:45:15 |
| bnnsurv |
0.1.3 |
TensorFlow 2.x Bayesian Neural Network for Survival Analysis |
2023-11-17 13:33:31 |