hashemghanem / OPU_Graph_Classifier
Fast graph classifier with optical random features
☆12Updated 3 years ago
Alternatives and similar repositories for OPU_Graph_Classifier:
Users that are interested in OPU_Graph_Classifier are comparing it to the libraries listed below
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 2 years ago
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆20Updated 4 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 2 years ago
- Optical Transfer Learning☆27Updated last year
- Double Descent Curve with Optical Random Features☆28Updated 2 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 4 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆21Updated last year
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆21Updated 5 years ago
- Implementation of NEWMA: a new method for scalable model-free online change-point detection☆46Updated 4 years ago
- Python client for the LightOn Muse API☆14Updated 2 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Updated 3 years ago
- Python library for running large-scale computations on LightOn's OPUs☆35Updated 2 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated last year
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Codebase accompanying the paper "Diagnosing and Fixing Manifold Overfitting in Deep Generative Models"☆9Updated 5 months ago
- Public rankings of extreme-scale models☆13Updated 3 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆86Updated 2 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆28Updated 5 years ago
- orbital MCMC☆10Updated 3 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)☆33Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Code release for the ICLR paper☆20Updated 6 years ago