RobertTLange / code-and-blogLinks
Some small scale experiments for my blog posts 📝
☆79Updated 3 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:
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 5 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago
- ☆85Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 11 months ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Reinforcement learning library in JAX.☆100Updated last year
- ☆192Updated 2 months ago
- ☆168Updated 10 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆106Updated last year
- 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
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- A Tutorial on Deep Reinforcement Learning in PyTorch☆32Updated last year
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago
- Documentation:☆120Updated 2 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- ☆28Updated 5 years ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆33Updated last year
- Normalizing Flows in Jax☆108Updated 4 years ago
- This project was moved to: https://github.com/coax-dev/coax☆160Updated 2 years ago
- ☆101Updated last year
- A selection of neural network models ported from torchvision for JAX & Flax.☆44Updated 4 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago