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
- ☆28Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 5 years ago
- Deep learning with a multiplication budget☆47Updated 6 years ago
- ☆36Updated 3 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated last year
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- Training neural networks with 8-bit computations☆28Updated 8 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 5 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Contains Code for our Sigma-Delta Nets Paper☆10Updated 8 years ago
- ☆22Updated 6 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- ☆34Updated 6 years ago
- This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off☆13Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 4 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago