nicklashansen / neural-net-optimizationLinks
PyTorch implementations of recent optimization algorithms for deep learning.
☆62Updated 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:
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Celular automaton-based calculus for the masses☆112Updated 5 years ago
- Repository for tutorial sessions at EEML2020☆269Updated 4 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☆168Updated 2 years ago
- ☆78Updated 5 years ago
- Generic reinforcement learning codebase in TensorFlow☆95Updated 3 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆208Updated 2 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.☆54Updated 2 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- ☆197Updated last year
- Tricks for Colab power users☆168Updated 5 years ago
- To Run, Manage and Visualize Large Scale Experiments☆172Updated last year
- Let's solve the flatland challenge!☆73Updated last year
- An implementation of convolutional networks in NumPy!☆81Updated 4 years ago
- Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)☆136Updated last year
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆260Updated 2 years ago
- Functional machine learning for fun☆85Updated 4 years ago
- Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.☆98Updated 4 years ago
- A curated collection of reinforcement learning resources☆93Updated last year
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆368Updated 7 months ago
- Materials for the practical sessions at EEML2019☆80Updated 5 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- Thrilling tales of heroic feats by ML's larger-than-life champions.☆187Updated 4 years ago
- A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate☆45Updated 5 years ago
- Notebooks for upcoming fastai book (draft / incomplete)☆162Updated 5 years ago
- ☆212Updated 4 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 years ago