bentherien / parametricScatteringNetworks
[Oral; CVPR'22] Parametric Scattering Networks
☆25Updated last month
Alternatives and similar repositories for parametricScatteringNetworks
Users that are interested in parametricScatteringNetworks are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the ECCV 2020 paper "Gabor Layers Enhance Network Robustness".☆31Updated 4 years ago
- Mutual Information in Pytorch☆111Updated last year
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆115Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆121Updated 2 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆30Updated 4 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆82Updated last year
- 1D Wasserstein Statistical Loss in Pytorch☆28Updated 4 years ago
- Batch Renormalization in Pytorch☆45Updated 2 years ago
- Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…☆184Updated last week
- Implementation of Depthwise Separable Convolution (pytorch)☆79Updated 5 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆33Updated 3 years ago
- A PyTorch Implementation of LaplaceNet:A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification☆15Updated 3 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆97Updated 4 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Implementation of dynamic temporal pooling (DTP) for time series classification☆40Updated 3 years ago
- Discriminative Prototypes learned by Dynamic Time Warping (DTW) for Time Series Classification (TSC)☆32Updated 4 years ago
- Implementation for our paper exploring a novel 2D adaptive attention span kernel in computer vision.☆35Updated last year
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆84Updated 3 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆51Updated 2 years ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆48Updated 7 months ago
- Conditional convolution (Dynamic convolution) in tensorflow2☆22Updated 3 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Updated 4 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago
- Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning☆25Updated 4 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆166Updated 5 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆13Updated 3 years ago
- PyTorch implementation of the GradNorm☆94Updated 8 months ago
- ☆39Updated 6 years ago
- PyTorch implementation of Convolutional Recurrent Neural Network☆134Updated 2 years ago
- Unofficial implementation of YOTO (You Only Train Once) applied to Class balanced loss☆23Updated 5 years ago