nicklashansen / neural-net-optimizationLinks
PyTorch implementations of recent optimization algorithms for deep learning.
☆61Updated 5 years ago
Alternatives and similar repositories for neural-net-optimization
Users that are interested in neural-net-optimization are comparing it to the libraries listed below
Sorting:
- Generic reinforcement learning codebase in TensorFlow☆95Updated 3 years ago
- ☆78Updated 5 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆176Updated 3 years ago
- The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch☆184Updated 5 years ago
- A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate☆45Updated 5 years ago
- Celular automaton-based calculus for the masses☆112Updated 5 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 years ago
- Open-source library for a reinforcement learning research.☆54Updated 2 years ago
- Machine learning algorithms☆112Updated 6 years ago
- Functional machine learning for fun☆85Updated 4 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Tricks for Colab power users☆168Updated 5 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆144Updated 5 years ago
- A curated collection of reinforcement learning resources☆90Updated last year
- Docs☆143Updated 6 months ago
- To Run, Manage and Visualize Large Scale Experiments☆168Updated last year
- A set of 13 diverse machine-learning tasks that require memory to solve.☆223Updated 3 years ago
- Repository for tutorial sessions at EEML2020☆272Updated 4 years ago
- ☆182Updated 10 months ago
- This codebase is a starting point to get your Machine Learning project into Production.☆43Updated 4 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 2 years ago
- Let's solve the flatland challenge!☆73Updated last year
- Official code for the Stochastic Polyak step-size optimizer☆139Updated 11 months ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.☆98Updated 4 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆206Updated 2 years ago
- Cellular automaton-based calculus for the masses☆24Updated 6 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- ☆153Updated 5 years ago
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆260Updated 2 years ago