Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).
☆22Jun 12, 2019Updated 6 years ago
Alternatives and similar repositories for principled-dfa-training
Users that are interested in principled-dfa-training are comparing it to the libraries listed below
Sorting:
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Jun 22, 2022Updated 3 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Jun 22, 2022Updated 3 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Jun 22, 2022Updated 3 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆32Feb 23, 2017Updated 9 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆23Jul 23, 2023Updated 2 years ago
- Optical Transfer Learning☆27Jul 23, 2023Updated 2 years ago
- Fast graph classifier with optical random features☆12Mar 2, 2021Updated 5 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17May 19, 2020Updated 5 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Mar 9, 2017Updated 8 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆104Jan 15, 2018Updated 8 years ago
- Implementation of NEWMA: a new method for scalable model-free online change-point detection☆48May 4, 2020Updated 5 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆67Feb 11, 2021Updated 5 years ago
- Python client for the LightOn Muse API☆14Sep 15, 2022Updated 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…☆20Oct 18, 2022Updated 3 years ago
- Public rankings of extreme-scale models☆13Oct 18, 2021Updated 4 years ago
- Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware☆15Mar 1, 2022Updated 4 years ago
- Improving Neural Network Training in Low Dimensional Random Bases☆13Nov 17, 2020Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆32Jun 5, 2023Updated 2 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆15Mar 14, 2021Updated 4 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Mar 17, 2021Updated 4 years ago
- Spatial Spectral Machine Learning☆14Oct 15, 2025Updated 4 months ago
- This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Projection" (ICDM 2018).☆18Aug 5, 2020Updated 5 years ago
- Demo of random projections at BerlinBuzzwords 2015☆22Feb 25, 2020Updated 6 years ago
- Categorical Variational Auto-encoders in PyTorch☆23Oct 26, 2021Updated 4 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Jun 27, 2018Updated 7 years ago
- 🧠 Benchmark facility to train networks on different datasets for PyTorch/Brevitas☆27Jan 27, 2023Updated 3 years ago
- ☆30Apr 26, 2019Updated 6 years ago
- ☆14Jun 24, 2024Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Apr 22, 2024Updated last year
- UBC Siepic Ebeam PDK from edx course☆33Feb 24, 2026Updated last week
- Feature space plugin for QGIS. Visualize spectral feature space☆10Jul 1, 2023Updated 2 years ago
- ☆21Nov 12, 2025Updated 3 months ago
- FLOPs and other statistics COunter for tf.keras neural networks☆30Jul 12, 2022Updated 3 years ago
- ☆37Jun 1, 2022Updated 3 years ago
- This is a modified version of the code for Hyperspectral image classification using CNN (Post-processing code is written in python).☆10Mar 3, 2018Updated 8 years ago
- ☆12Oct 14, 2015Updated 10 years ago
- Arabic Word-Embedding (Word2vec) model training from Wikipedia articles☆11Dec 13, 2018Updated 7 years ago
- Code for "Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering" (C.C. Wanjura and F. Marquardt).☆10Apr 16, 2024Updated last year
- Sparse Unmixing Using Unsupervised Convolutional Neural Network☆10Jun 2, 2024Updated last year