minimal_glo

GLO

An implementation of Generative Latent Optimization in PyTorch for learning about generative models and optimization techniques.

Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"

GitHub

120 stars
5 watching
14 forks
Language: Python
last commit: over 8 years ago
deep-learninggenerative-models

Related projects:

RepositoryDescriptionStars
akanimax/pro_gan_pytorchImplementation of a deep learning model for generating high-quality images with improved stability and variation.538
locuslab/optnetA PyTorch module that adds differentiable optimization as a layer to neural networks517
lupoglaz/godotaigymEnables training of reinforcement learning models with PyTorch on Godot Engine using shared memory214
ikostrikov/pytorch-meta-optimizerA PyTorch implementation of meta-learning using gradient descent to adapt to new tasks.312
carpedm20/discogan-pytorchA PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations.1,084
open-mmlab/mmgenerationGenerative model toolkit for GANs and image generation tasks1,925
tristandeleu/pytorch-maml-rlReplication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks830
pemami4911/neural-combinatorial-rl-pytorchAn implementation of Neural Combinatorial Optimization with Reinforcement Learning using PyTorch.562
dl-it/generative_zooA collection of generative models implemented in Python using PyTorch54
rentruewang/koilaA lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution1,823
metaopt/torchoptAn efficient library for differentiable optimization built on top of PyTorch.554
chingyaoc/ggnn.pytorchAn implementation of a neural network architecture for processing graph-structured data and making predictions on nodes.466
tristandeleu/pytorch-metaProvides tools and datasets for meta-learning and few-shot learning in deep learning1,996
hjmshi/pytorch-lbfgsA PyTorch implementation of L-BFGS optimization algorithm for training neural networks591
gpleiss/efficient_densenet_pytorchAn implementation of DenseNets optimized to save GPU memory by using checkpointing1,524