lightonai / newma-mdLinks
Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
☆16Updated 3 years ago
Alternatives and similar repositories for newma-md
Users that are interested in newma-md are comparing it to the libraries listed below
Sorting:
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆19Updated 5 years ago
- Optical Transfer Learning☆27Updated 2 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 3 years ago
- Double Descent Curve with Optical Random Features☆30Updated 3 years ago
- Python library for running large-scale computations on LightOn's OPUs☆37Updated 3 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆21Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Updated 6 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand …☆20Updated 4 years ago
- Bayesian nonparametric spectral estimation☆14Updated 3 years ago
- ☆12Updated 5 years ago
- Dive into Jax, Flax, XLA and C++☆32Updated 5 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Convolutions and more as einsum for PyTorch☆17Updated last year
- Layered distributions using FLAX/JAX☆10Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- ☆16Updated 2 years ago
- Deep learning for multispectral imaging☆14Updated 11 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 6 years ago
- ☆70Updated 2 years ago
- Quasi-Newton algorithm for joint-diagonalization☆34Updated 3 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆21Updated 2 years ago