| Name | Version | Summary | date |
| rockpool |
3.0.1 |
A Python package for developing, simulating and training spiking neural networks, and deploying on neuromorphic hardware |
2025-10-09 11:30:41 |
| simple-neural-works |
2.0.2 |
This is the simplest educational module for quick work with neural networks. |
2025-10-07 19:45:37 |
| pymathnn |
0.2.7 |
Python module for mathematical operations, matrix manipulations and neural network utilities using NumPy |
2025-08-03 19:26:34 |
| xmos-ai-tools |
1.4.1 |
XMOS AI Tools |
2025-06-09 11:45:13 |
| biomimetic |
0.4.4 |
A Python library for biomimetic cell models in neural networks. |
2025-04-08 00:05:10 |
| ANNarchy |
4.8.2.5 |
Artificial Neural Networks architect |
2025-03-17 11:33:31 |
| NeuralFoil |
0.3.1 |
NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy. |
2025-02-25 23:28:30 |
| marqtune |
0.2.7 |
Client for marqtune |
2025-02-19 15:25:46 |
| marqo |
3.11.0 |
Tensor search for humans |
2025-02-13 03:13:49 |
| tract |
0.21.9 |
Python bindings for tract, a neural network inference engine |
2025-01-08 17:21:52 |
| soed |
1.0.10 |
Self Organizing Error Driven Artificial Neural Network |
2025-01-01 20:45:57 |
| minimalist-neural-networks |
1.1 |
A minimalist implementation of deep neural networks which requires few dependencies. |
2024-11-30 03:56:11 |
| Mohamad-ml-library |
0.0.3 |
A custom machine learning library containing several models |
2024-11-26 21:37:11 |
| louay-ml-library |
0.0.3 |
A custom machine learning library containing several models |
2024-11-18 15:43:35 |
| ctranslate2 |
4.5.0 |
Fast inference engine for Transformer models |
2024-10-22 13:32:16 |
| easyocr |
1.7.2 |
End-to-End Multi-Lingual Optical Character Recognition (OCR) Solution |
2024-09-24 11:34:43 |
| neuspellmyntra |
1.0.0 |
NeuSpell: A Neural Spelling Correction Toolkit |
2024-09-19 14:24:01 |
| dl2050nn |
1.0.87 |
NN lib |
2024-07-03 16:36:03 |
| PyNeuralNet |
1.2.0 |
PyNeuralNet is a python library for prototyping and building neural networks. PyNeuralNet uses PyTorch as a computational backend for deep learning models. |
2024-06-25 12:19:03 |
| larq-compute-engine |
0.16.0 |
Highly optimized inference engine for binarized neural networks. |
2024-06-21 07:18:03 |