Lexie88rus / Activation-functions-examples-pytorchLinks
Repository containing article with examples of custom activation functions for Pytorch
☆12Updated 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
Sorting:
- ☆15Updated 5 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Updated 3 years ago
- ☆29Updated 2 years ago
- A variational auto-encoder (VAE) framework with a new type of prior "Variational Mixture of Posteriors" prior, or VampPrior for short.☆10Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- ☆11Updated 6 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 4 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆26Updated 2 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- Open Sourced ML Research Paper Implementations in Tensorflow☆19Updated 3 years ago
- Custom Optimizer on Keras☆24Updated 5 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆46Updated 3 years ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Updated 4 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- Awesome list for Neural Network Optimization methods.☆79Updated 5 months ago
- Code base for SRSGD.☆28Updated 5 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 10 months ago
- The official implementation of Convergent Graph Solvers (CGS)☆21Updated 3 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Code repo for ICLR 24 BlogPost titled "Building Diffusion Model's theory from ground up"☆20Updated last year
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆32Updated 6 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago