lightonai / newma-md
Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
☆16Updated 2 years ago
Alternatives and similar repositories for newma-md:
Users that are interested in newma-md are comparing it to the libraries listed below
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 2 years ago
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆20Updated 4 years ago
- Fast graph classifier with optical random features☆12Updated 4 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
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 4 years ago
- Double Descent Curve with Optical Random Features☆28Updated 2 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆21Updated 5 years ago
- Python library for running large-scale computations on LightOn's OPUs☆36Updated 2 years ago
- Implementation of NEWMA: a new method for scalable model-free online change-point detection☆45Updated 4 years ago
- Python client for the LightOn Muse API☆14Updated 2 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
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆87Updated 2 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Experiments with Direct Feedback Alignment training scheme for DNNs☆31Updated 8 years ago
- Public rankings of extreme-scale models☆13Updated 3 years ago
- Experiments with Direct Feedback Alignment and comparison to Backpropagation.☆8Updated 7 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Randomized Linear Algebra in Python☆12Updated 8 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Tensorflow implementation of Direct and Random feedback Alignment☆24Updated 8 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago