tomMoral / AdaptiveOptimLinks
Adaptive optimization procedure
☆16Updated 7 years ago
Alternatives and similar repositories for AdaptiveOptim
Users that are interested in AdaptiveOptim are comparing it to the libraries listed below
Sorting:
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Easing non-convex optimization with neural networks.☆23Updated 6 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- VAE + Quantile Networks for MNIST☆12Updated 6 years ago
- ☆13Updated 7 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Updated 7 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆30Updated 5 years ago
- ☆14Updated 8 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 6 years ago
- ☆29Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- A mxnet implementation of CheXNet☆8Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 6 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 10 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- ☆81Updated 7 years ago
- PyTorch C++ Extension Example☆15Updated 7 years ago
- Multi-Residual Networks☆23Updated 8 years ago
- ☆17Updated 7 years ago
- Pytorch package for geometric softmax☆12Updated 6 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Updated 7 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago