dizam92 / pyTorchRegLinks
Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
☆38Updated 3 years ago
Alternatives and similar repositories for pyTorchReg
Users that are interested in pyTorchReg are comparing it to the libraries listed below
Sorting:
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 3 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆46Updated 5 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 6 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
- ☆53Updated 7 years ago
- ☆14Updated 6 years ago
- Pytorch package for geometric softmax☆12Updated 6 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆66Updated 7 months ago
- "Learning Rate Dropout" in PyTorch☆34Updated 6 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆24Updated 5 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆48Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Updated 6 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 6 years ago
- PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html☆47Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago