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
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆150Updated last year
- ☆122Updated last year
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆136Updated 3 years ago
- A Disentangling Invertible Interpretation Network☆121Updated 3 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆133Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated 8 months ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆123Updated last year
- Implementation of Glow in PyTorch☆81Updated 3 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
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆146Updated last year
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆197Updated 2 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 2 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated 8 months ago
- Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks☆57Updated 4 years ago
- Invertible Generative Flows☆81Updated 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
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆90Updated 4 years ago
- ☆88Updated 4 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆79Updated last year
- Batch Renormalization in Pytorch☆45Updated last year
- Assessing Generative Models via Precision and Recall (official repository)☆102Updated 2 years ago
- Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)☆207Updated 3 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago
- ☆101Updated 2 years ago
- PyTorch implementation of Sinusodial Representation networks (SIREN)☆263Updated 2 years ago
- Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder☆161Updated 3 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆89Updated 4 years ago