lightonai / supervised-random-projectionsLinks
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
☆19Updated 5 years ago
Alternatives and similar repositories for supervised-random-projections
Users that are interested in supervised-random-projections are comparing it to the libraries listed below
Sorting:
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 3 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 3 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆22Updated 2 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- Optical Transfer Learning☆27Updated 2 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Double Descent Curve with Optical Random Features☆29Updated 3 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆23Updated 6 years ago
- Python library for running large-scale computations on LightOn's OPUs☆36Updated 3 years ago
- Implementation of NEWMA: a new method for scalable model-free online change-point detection☆47Updated 5 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆90Updated 3 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated 2 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- ☆40Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- ☆77Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- ☆12Updated 4 years ago
- ☆50Updated last year
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- Simple and extensible hypergradient for PyTorch☆18Updated 2 years ago
- ☆59Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Updated 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- ☆26Updated 7 years ago
- ☆170Updated last year