PyTorch-LBFGS
Optimization library
A PyTorch implementation of L-BFGS optimization algorithm for training neural networks
A PyTorch implementation of L-BFGS.
591 stars
13 watching
67 forks
Language: Python
last commit: over 3 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 | |
| Trains PyTorch models using a genetic algorithm | 96 | |
| A Python library implementing a genetic algorithm for optimizing machine learning algorithms and neural networks. | 1,905 | |
| PyTorch implementation of Noisy Natural Gradient as Variational Inference for Bayesian Neural Networks | 121 | |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 | |
| Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory | 214 | |
| A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 | |
| Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 538 | |
| Trains a large-scale PyTorch language model on the 1-Billion Word dataset | 123 | |
| PyTorch implementation of an explainability technique for deep neural networks | 9 | |
| An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 | |
| A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 572 | |
| Reproducible PyTorch inference of the Progressive Growing of GANs model using CelebA training snapshot | 322 | |
| A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks. | 312 | |
| PyTorch implementation of a Factorization Machine module | 173 |