elybrand / quantized_neural_networksLinks
Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand and Rayan Saab (2020).
☆20Updated 4 years ago
Alternatives and similar repositories for quantized_neural_networks
Users that are interested in quantized_neural_networks are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- ☆28Updated 5 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- ☆71Updated 5 years ago
- Unofficial Experiments with AlgebraNets☆17Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Evolution Strategy Library☆55Updated 5 years ago
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- Deep learning with a multiplication budget☆47Updated 7 years ago
- ☆80Updated 7 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆90Updated 3 years ago
- Keras implementation of Legendre Memory Units☆215Updated last month
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆188Updated last year
- ☆42Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆106Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago