alwynmathew / gradflow-check
Check gradient flow in Pytorch
☆86Updated 6 years ago
Alternatives and similar repositories for gradflow-check:
Users that are interested in gradflow-check are comparing it to the libraries listed below
- ☆64Updated 3 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆98Updated 5 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆125Updated last year
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆79Updated last year
- Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks☆57Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder☆161Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆78Updated 2 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- A Disentangling Invertible Interpretation Network☆121Updated 3 years ago
- Invertible Generative Flows☆81Updated 3 years ago
- Code for "Scale-Equivariant Steerable Networks"☆67Updated 4 years ago
- ☆122Updated 2 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆89Updated 5 years ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Updated 2 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- Invert and perturb GAN images for test-time ensembling☆96Updated 3 years ago
- A compilation of network architectures for vision and others without usage of self-attention mechanism☆77Updated 2 years ago
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated last year
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆52Updated 4 years ago
- Framework for creating (partially) reversible neural networks with PyTorch☆150Updated 2 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Updated 3 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆142Updated 2 years ago
- ☆32Updated 5 years ago
- (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder☆38Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 10 months ago