kyunghyuncho / jax-practice
☆12Updated 4 years ago
Alternatives and similar repositories for jax-practice:
Users that are interested in jax-practice are comparing it to the libraries listed below
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- ☆33Updated 4 years ago
- Silly twitter torch implementations.☆46Updated 2 years ago
- ☆26Updated 5 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 3 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆47Updated 3 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 6 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆58Updated 4 years ago
- ☆153Updated 4 years ago
- ☆80Updated 3 years ago
- ☆12Updated 7 years ago
- ☆30Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Standalone pre-training recipe with JAX+Flax☆31Updated last year
- ☆45Updated 5 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆44Updated 4 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- ☆18Updated 2 years ago
- ☆42Updated 3 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- ☆37Updated 5 years ago
- ☆24Updated 6 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆11Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated 11 months ago
- ☆67Updated last year