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
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆22Updated 2 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Double Descent Curve with Optical Random Features☆30Updated 3 years ago
- Python library for running large-scale computations on LightOn's OPUs☆36Updated 3 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆22Updated 6 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Convolutions and more as einsum for PyTorch☆16Updated last year
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Updated 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
- ☆12Updated 5 years ago
- The Union of Intersections Framework in Python☆15Updated this week
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- ☆71Updated 5 years ago
- ☆11Updated 6 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆38Updated 5 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- A library for optimization on Riemannian manifolds☆112Updated 7 months ago
- Jax SSM Library☆48Updated 3 years ago
- Automatic ROI Detection☆19Updated 10 years ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated 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
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Isomorphisms of quiver representations applied to neural networks.☆16Updated last year