lightonai / supervised-random-projections
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
☆20Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for supervised-random-projections
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 2 years ago
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 2 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆21Updated last year
- Optical Transfer Learning☆27Updated last year
- Fast graph classifier with optical random features☆12Updated 3 years ago
- Double Descent Curve with Optical Random Features☆27Updated 2 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 4 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆22Updated 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
- Python library for running large-scale computations on LightOn's OPUs☆35Updated 2 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆84Updated 2 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆23Updated 2 years ago
- Public rankings of extreme-scale models☆13Updated 3 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Updated 3 years ago
- Inference code in Pytorch for GPT-like models, such as PAGnol, a family of models with up to 1.5B parameters, trained on datasets in Fren…☆20Updated 2 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- Group elastic net implementation in PyTorch.☆44Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Updated 3 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 4 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated last year
- Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand …☆19Updated 3 years ago
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- MCMC methods for neural networks☆10Updated 6 months ago
- ☆40Updated 5 years ago
- ☆46Updated 5 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- ☆13Updated last month