Lexie88rus / Activation-functions-examples-pytorch
Repository containing article with examples of custom activation functions for Pytorch
☆11Updated 4 years ago
Related projects: ⓘ
- ☆19Updated 3 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆18Updated 3 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- Anytime Learning At Macroscale☆9Updated 2 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 4 years ago
- NeurIPS2021: Vision Transformer Paper Collection☆9Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆24Updated 2 years ago
- ☆11Updated 5 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 3 years ago
- A simple Graph Net in PyTorch☆24Updated 4 years ago
- Efficient Deep Learning Survey Paper☆32Updated last year
- Custom Optimizer on Keras☆24Updated 4 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆30Updated 3 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 3 years ago
- PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Repr…☆21Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆28Updated 2 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 2 years ago
- ☆28Updated 5 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆15Updated 3 years ago
- code for icml paper: https://arxiv.org/abs/1711.03243v3☆11Updated 6 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 4 years ago
- Visualizing the the loss landscape of Fully-Connected Neural Networks☆42Updated last year
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Updated 5 years ago
- Implementation of various generative models☆14Updated 5 years ago
- PyTorch Codes for Haar Graph Pooling☆10Updated last year
- ☆35Updated 2 years ago
- Signal recovery and sampling over graphs☆13Updated 5 years ago
- Reproducible code for Augmentation paper☆18Updated 5 years ago
- A collection of Hyper parameter tuning library.☆38Updated 4 years ago