GeorgeKyriakides / nord
Deep neural architecture research framework
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for nord
- Tensorflow 2.x implementation of Gradient Origin Networks☆13Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆15Updated 5 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 2 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 3 years ago
- NeurIPS 2019 Paper Implementation☆13Updated 2 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- A pytorch implementation of Information Bottleneck GAN☆28Updated 5 years ago
- Forecasting library in python☆13Updated 5 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆13Updated 4 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Updated 3 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆54Updated 2 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 5 years ago
- ☆24Updated 6 months ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 5 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆12Updated 5 years ago
- ☆36Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 3 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Updated 3 months ago
- Implementation in the framework of my bachelor thesis: Generative Modelling using Capsule Generative Adversarial Networks☆12Updated last year
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago