poutyne
Neural net trainer
A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities
A simplified framework and utilities for PyTorch
572 stars
17 watching
65 forks
Language: Python
last commit: 11 months ago
Linked from 2 awesome lists
data-sciencedeep-learningkerasmachine-learningneural-networkpythonpytorch
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 40 |
| | A PyTorch-based neural network training framework with advanced features and utilities | 398 |
| | A Python library for training neural networks with focus on hydrological applications using PyTorch. | 372 |
| | A deep learning framework on top of PyTorch for building neural networks. | 61 |
| | Deep learning framework for spiking neural networks | 685 |
| | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
| | An introduction to using PyTorch for deep learning tasks | 1,194 |
| | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
| | This project provides a PyTorch implementation of pruning techniques to reduce the computational resources required for neural network inference. | 877 |
| | A PyTorch-based framework for training and studying artificial species in bio-inspired environments | 72 |
| | A collection of tools and utilities for building and training neural networks with PyTorch. | 1,669 |
| | Re-implementation of Coursera's Deep Learning specialization assignments in PyTorch | 149 |
| | Trains PyTorch models using a genetic algorithm | 96 |
| | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,093 |