lightonai / transfer-learning-opuLinks
Optical Transfer Learning
☆27Updated 2 years ago
Alternatives and similar repositories for transfer-learning-opu
Users that are interested in transfer-learning-opu are comparing it to the libraries listed below
Sorting:
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 3 years ago
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆19Updated 5 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 3 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆22Updated 2 years ago
- Double Descent Curve with Optical Random Features☆30Updated 3 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Python library for running large-scale computations on LightOn's OPUs☆36Updated 3 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆21Updated 6 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- ☆71Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Updated 5 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 5 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated 2 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
- The Union of Intersections Framework in Python☆15Updated 3 weeks ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Convolutions and more as einsum for PyTorch☆17Updated last year
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆39Updated 6 years ago
- ☆28Updated 6 years ago
- Isomorphisms of quiver representations applied to neural networks.☆16Updated last year
- Python code for intrinsic dimension estimation of generic datasets☆19Updated 7 years ago
- ☆12Updated 5 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago