nicklashansen / neural-net-optimization
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
- Celular automaton-based calculus for the masses☆112Updated 5 years ago
- The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch☆184Updated 5 years ago
- Build neural networks with less boilerplate code☆167Updated last year
- A curated collection of reinforcement learning resources☆89Updated last year
- Generic reinforcement learning codebase in TensorFlow☆95Updated 3 years ago
- ☆77Updated 5 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆175Updated 3 years ago
- Machine learning algorithms☆112Updated 6 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
- Curated lists of fastai resources: blog posts, twitter threads etc.☆144Updated 5 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆206Updated 2 years ago
- A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate☆45Updated 5 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Tricks for Colab power users☆170Updated 5 years ago
- ☆196Updated 8 months ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 2 years ago
- Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.☆54Updated 6 years ago
- Functional machine learning for fun☆84Updated 3 years ago
- Fit your tensorflow model using fastai and PyTorch☆91Updated 5 years ago
- Repository for tutorial sessions at EEML2020☆272Updated 4 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
- BiGAN implementation in Keras to detect similarities in Landscapes.☆175Updated 5 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- A set of 13 diverse machine-learning tasks that require memory to solve.☆221Updated 3 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated 10 months ago
- An implementation of convolutional networks in NumPy!☆80Updated 4 years ago