larq / zookeeper
A small library for managing deep learning models, hyperparameters and datasets
☆23Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for zookeeper
- Reference implementations of popular Binarized Neural Networks☆104Updated last week
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆73Updated 4 years ago
- Highly optimized inference engine for Binarized Neural Networks☆243Updated last week
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆37Updated 2 years ago
- Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage…☆68Updated 3 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆159Updated 2 years ago
- ☆53Updated 5 years ago
- Low Precision Arithmetic Simulation in PyTorch☆264Updated 5 months ago
- Programmable Neural Network Compression☆146Updated 2 years ago
- Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS…☆11Updated 4 years ago
- Deep learning with a multiplication budget☆47Updated 6 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 4 years ago
- BNNs (XNOR, BNN and DoReFa) implementation for PyTorch 1.0+☆39Updated last year
- The collection of training tricks of binarized neural networks.☆72Updated 3 years ago
- Butterfly matrix multiplication in PyTorch☆164Updated last year
- Fast matrix multiplication for few-bit integer matrices on CPUs.☆27Updated 5 years ago
- A Hackable Quantization Library for PyTorch☆19Updated 3 years ago
- A curated list of binary neural network research papers and software packages.☆19Updated 4 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 4 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…☆39Updated 6 years ago
- This is a collection of works on neural networks and neural accelerators.☆40Updated 5 years ago
- Repository containing pruned models and related information☆36Updated 3 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆77Updated 2 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Approximate layers - TensorFlow extension☆26Updated 6 months ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- An Open-Source Library for Training Binarized Neural Networks☆707Updated 2 months ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- Binary Neural Network on IceStick FPGA.☆50Updated 6 years ago