AVO-pytorch
Inference method
A method to solve likelihood-free inference problems using an optimization approach
Implementation of Adversarial Variational Optimization in PyTorch
43 stars
5 watching
2 forks
Language: Jupyter Notebook
last commit: over 6 years ago Related projects:
Repository | Description | Stars |
---|---|---|
zccyman/pytorch-inference | Enables fast and efficient inference of PyTorch models on Windows 10 platforms using C++ | 89 |
ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 433 |
wizaron/pytorch-cpp-inference | A repository providing tools and examples to serve PyTorch models as C++ inference applications. | 226 |
ctallec/pyvarinf | A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch | 359 |
atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 350 |
moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
ptrblck/prog_gans_pytorch_inference | Reproducible PyTorch inference of the Progressive Growing of GANs model using CelebA training snapshot | 322 |
alexis-jacq/pytorch-dppo | A PyTorch implementation of Distributed Proximal Policy Optimization algorithm | 180 |
jacobgil/pytorch-pruning | This project provides a PyTorch implementation of pruning techniques to reduce the computational resources required for neural network inference. | 875 |
fgxaos/pytorch-innvestigate | PyTorch implementation of an explainability technique for deep neural networks | 9 |
akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |
ikostrikov/pytorch-meta-optimizer | A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks. | 312 |
kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
rarilurelo/pytorch_a3c | An implementation of Asynchronous Advantage Actor-Critic in PyTorch for training AI models on reinforcement learning tasks | 38 |
kimhc6028/forward-thinking-pytorch | An implementation of a novel neural network training method that builds and trains networks one layer at a time. | 65 |