PyTorch-LBFGS
Optimization library
A PyTorch implementation of L-BFGS optimization algorithm for training neural networks
A PyTorch implementation of L-BFGS.
586 stars
13 watching
67 forks
Language: Python
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 350 |
 ahmedfgad/torchga | Trains PyTorch models using the Genetic Algorithm | 95 |
| ahmedfgad/geneticalgorithmpython | A Python library implementing a genetic algorithm for optimization of machine learning models | 1,884 |
 wlwkgus/noisynaturalgradient | PyTorch implementation of Noisy Natural Gradient as Variational Inference for Bayesian Neural Networks | 121 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
 lupoglaz/godotaigym | Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory | 214 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 513 |
 akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |
 rdspring1/pytorch_gbw_lm | Trains a large-scale PyTorch language model on the 1-Billion Word dataset | 123 |
 fgxaos/pytorch-innvestigate | PyTorch implementation of an explainability technique for deep neural networks | 9 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 244 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 569 |
 ptrblck/prog_gans_pytorch_inference | Reproducible PyTorch inference of the Progressive Growing of GANs model using CelebA training snapshot | 322 |
 ikostrikov/pytorch-meta-optimizer | A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks. | 312 |
 jmhessel/fmpytorch | PyTorch implementation of a Factorization Machine module | 173 |