tomMoral / AdaptiveOptim
Adaptive optimization procedure
☆16Updated 6 years ago
Alternatives and similar repositories for AdaptiveOptim:
Users that are interested in AdaptiveOptim are comparing it to the libraries listed below
- Just some experiments on GANs hallucinating data samples for an incremental learner.☆18Updated 7 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Meta-SGD Algorithms Implementation☆22Updated 8 months ago
- ☆29Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- ☆13Updated 7 years ago
- This repository has moved to: https://github.com/tkipf/c-swm☆27Updated 5 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- ☆18Updated 6 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Updated 5 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆30Updated 4 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- SplitNet implemented based on ResNet-50 trained on ImageNet-22K☆16Updated 6 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- ☆17Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 6 years ago
- Tensorflow implementation of DeepLabv2☆22Updated 7 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- ☆26Updated 5 years ago