larq / zookeeper
A small library for managing deep learning models, hyperparameters and datasets
☆23Updated last year
Alternatives and similar repositories for zookeeper:
Users that are interested in zookeeper are comparing it to the libraries listed below
- Reference implementations of popular Binarized Neural Networks☆107Updated last week
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- ☆53Updated 6 years ago
- Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS…☆11Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆38Updated 3 years ago
- Highly optimized inference engine for Binarized Neural Networks☆248Updated last week
- Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage…☆69Updated 3 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆158Updated 3 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 5 years ago
- Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models☆66Updated last year
- Butterfly matrix multiplication in PyTorch☆168Updated last year
- Repository containing pruned models and related information☆37Updated 4 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- Torch-7 implementation of BinaryDuo (ICLR 2020).☆9Updated 4 years ago
- BNNs (XNOR, BNN and DoReFa) implementation for PyTorch 1.0+☆39Updated 2 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 3 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
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆15Updated 3 years ago
- Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests☆44Updated 2 years ago
- Reproduction of WAGE in PyTorch.☆41Updated 6 years ago
- A curated list of binary neural network research papers and software packages.☆22Updated 5 years ago
- Deep learning with a multiplication budget☆47Updated 6 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Ternary Weights and Activations☆24Updated 6 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 5 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 3 years ago