Lexie88rus / Activation-functions-examples-pytorch
Repository containing article with examples of custom activation functions for Pytorch
☆11Updated 5 years ago
Alternatives and similar repositories for Activation-functions-examples-pytorch:
Users that are interested in Activation-functions-examples-pytorch are comparing it to the libraries listed below
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆43Updated 4 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 4 years ago
- NeurIPS2021: Vision Transformer Paper Collection☆8Updated 3 years ago
- A variational auto-encoder (VAE) framework with a new type of prior "Variational Mixture of Posteriors" prior, or VampPrior for short.☆9Updated 3 years ago
- Introducing diverse tasks for NAS☆47Updated 2 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 4 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- Anytime Learning At Macroscale☆9Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆12Updated 5 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Updated 6 years ago
- ☆19Updated 3 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated last year
- ☆28Updated 2 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 5 years ago
- ☆18Updated 3 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 4 years ago
- ☆14Updated 5 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆30Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆15Updated 4 years ago
- Deep neural architecture research framework☆12Updated last year
- PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Repr…☆22Updated 2 years ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆27Updated 3 years ago
- Reproducible code for Augmentation paper☆18Updated 5 years ago
- Custom Optimizer on Keras☆24Updated 4 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆13Updated 2 years ago