elybrand / quantized_neural_networks
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).
☆21Updated 3 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
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- ☆28Updated 5 years ago
- Deep learning with a multiplication budget☆47Updated 6 years ago
- Nengo library of additional extensions☆29Updated 2 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆32Updated 5 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- ☆37Updated 3 years ago
- Contains Code for our Sigma-Delta Nets Paper☆10Updated 8 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 4 years ago
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- Statistical adaptive stochastic optimization methods☆33Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- ☆30Updated 4 years ago
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆71Updated 5 years ago
- Jax SSM Library☆49Updated 2 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆80Updated 7 years ago
- A tiny module for machine learning experiment orchestration☆63Updated 5 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- ☆25Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆43Updated 6 years ago