Training Very Deep Neural Networks Without Skip-Connections
☆589Jun 9, 2018Updated 7 years ago
Alternatives and similar repositories for diracnets
Users that are interested in diracnets are comparing it to the libraries listed below
Sorting:
- auto-tuning momentum SGD optimizer☆288Mar 24, 2019Updated 6 years ago
- Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"☆181Jan 15, 2018Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Jun 14, 2017Updated 8 years ago
- Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)☆818Dec 6, 2022Updated 3 years ago
- CondenseNet: Light weighted CNN for mobile devices☆691Nov 11, 2019Updated 6 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Dec 10, 2017Updated 8 years ago
- Improving Convolutional Networks via Attention Transfer (ICLR 2017)☆1,466Jul 11, 2018Updated 7 years ago
- Inferring and Executing Programs for Visual Reasoning☆802Aug 30, 2021Updated 4 years ago
- Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)☆2,113Jan 4, 2022Updated 4 years ago
- Dilated Residual Networks☆1,104Mar 9, 2020Updated 5 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆297Oct 9, 2018Updated 7 years ago
- Code for the paper "Adversarial Generator-Encoder Networks"☆287Jun 28, 2018Updated 7 years ago
- Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.☆374Nov 1, 2017Updated 8 years ago
- PyTorch and Tensorflow functional model definitions☆588Feb 1, 2018Updated 8 years ago
- Support powerful visual logging in PyTorch.☆104Aug 18, 2017Updated 8 years ago
- PyTorch implementation of Deformable Convolution☆411Feb 17, 2019Updated 7 years ago
- A language-agnostic interface to TensorBoard☆781Nov 9, 2017Updated 8 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Jun 28, 2017Updated 8 years ago
- Fully Convolutional Instance-aware Semantic Segmentation☆1,566Sep 27, 2021Updated 4 years ago
- Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks☆1,922Jan 14, 2020Updated 6 years ago
- OptNet - Reducing memory usage in torch neural nets☆282Apr 19, 2017Updated 8 years ago
- Code and models from the paper "Layer Normalization"☆243Nov 8, 2016Updated 9 years ago
- Detectorch - detectron for PyTorch☆559Oct 30, 2018Updated 7 years ago
- 3.8% and 18.3% on CIFAR-10 and CIFAR-100☆1,310Aug 20, 2019Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆337Nov 30, 2021Updated 4 years ago
- Tutorials and implementations for "Self-normalizing networks"☆1,589Dec 9, 2025Updated 2 months ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆212Aug 15, 2018Updated 7 years ago
- Tools for PyTorch☆223Aug 10, 2022Updated 3 years ago
- Supporting public code for SIGBOVIK17 submission☆198Mar 8, 2017Updated 8 years ago
- PyTorch implementation of Deformable Convolution☆911Jul 21, 2021Updated 4 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆239Jan 12, 2019Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149May 25, 2017Updated 8 years ago
- PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot☆322Nov 4, 2017Updated 8 years ago
- ☆82Oct 19, 2017Updated 8 years ago
- Sequence-to-Sequence Framework in PyTorch☆392Jan 5, 2023Updated 3 years ago
- A PyTorch Implementation of Single Shot Scale-invariant Face Detector.☆232Oct 28, 2019Updated 6 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Jul 10, 2017Updated 8 years ago
- Fast Scattering Transform with CuPy/PyTorch☆295Feb 22, 2020Updated 6 years ago
- An experimental technique for efficiently exploring neural architectures.☆492Aug 19, 2017Updated 8 years ago