RobertTLange / code-and-blogLinks
Some small scale experiments for my blog posts 📝
☆79Updated 2 years ago
Alternatives and similar repositories for code-and-blog
Users that are interested in code-and-blog are comparing it to the libraries listed below
Sorting:
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆110Updated 2 years ago
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 5 years ago
- ☆192Updated last month
- Reinforcement learning library in JAX.☆100Updated last year
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆37Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Image augmentation library for Jax☆39Updated last year
- Official code for the Stochastic Polyak step-size optimizer☆139Updated 11 months ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- A Tutorial on Deep Reinforcement Learning in PyTorch☆32Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- ☆30Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆76Updated 6 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- ☆67Updated last year
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆99Updated 3 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆43Updated 4 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 3 years ago
- ☆67Updated 6 years ago
- ☆85Updated 4 years ago
- ☆101Updated last year
- Documentation:☆120Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 10 months ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago