yscacaca / DeepIoTLinks
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
☆27Updated 7 years ago
Alternatives and similar repositories for DeepIoT
Users that are interested in DeepIoT are comparing it to the libraries listed below
Sorting:
- ☆103Updated 7 years ago
- STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks☆48Updated 6 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 8 years ago
- Sparse dictionary learning☆30Updated 11 years ago
- Binarized Dense and Conv2D layers for Keras☆17Updated 8 years ago
- Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand …☆20Updated 4 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- ☆15Updated 6 years ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Updated 3 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆74Updated 13 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆198Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- ☆140Updated 7 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆32Updated 9 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆146Updated 7 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆23Updated 9 years ago
- Scattering Network for Matlab☆91Updated 6 years ago
- Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding☆14Updated 8 years ago
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Adversarial Non-linear Independent Component Analysis☆50Updated 7 years ago
- Matlab implementation of the paper "Learning fast approximations of sparse coding"☆32Updated 9 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- Code to reproduce results from the paper: "Compressed Sensing using Generative Models".☆217Updated 6 years ago
- predicting learning curves in python☆43Updated 8 years ago
- Low-rank Matrix Completion using Alternating Minimization☆23Updated 7 years ago
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Updated 6 years ago
- A Matlab benchmarking toolbox for kernel adaptive filtering☆98Updated 2 years ago