davidenunes / expLinks
python experiment management toolset
☆15Updated 5 years ago
Alternatives and similar repositories for exp
Users that are interested in exp are comparing it to the libraries listed below
Sorting:
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Updated 5 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- ☆30Updated 3 years ago
- ☆45Updated 5 years ago
- Loss Patterns of Neural Networks☆85Updated 3 years ago
- Research code need not be ugly.☆77Updated 2 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆190Updated last year
- ☆42Updated 5 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆52Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- ☆108Updated 2 years ago