danielkunin / neural-mechanicsLinks
☆19Updated 4 years ago
Alternatives and similar repositories for neural-mechanics
Users that are interested in neural-mechanics are comparing it to the libraries listed below
Sorting:
- ☆42Updated 5 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.☆56Updated 5 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated 2 years ago
- Functional deep learning☆108Updated 3 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- ☆61Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- ☆79Updated 5 years ago
- ☆36Updated 3 years ago
- A set of useful tools for DL experiments, project templates, etc.☆35Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- ☆37Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- ☆104Updated 4 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- a lightweight transformer library for PyTorch☆72Updated 4 years ago
- To Run, Manage and Visualize Large Scale Experiments☆172Updated 2 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 3 months ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆61Updated 4 years ago
- Experiment orchestration☆102Updated 5 years ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year