larq / compute-engineLinks
Highly optimized inference engine for Binarized Neural Networks
☆250Updated this week
Alternatives and similar repositories for compute-engine
Users that are interested in compute-engine are comparing it to the libraries listed below
Sorting:
- Reference implementations of popular Binarized Neural Networks☆107Updated 3 weeks ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆157Updated 3 years ago
- An Open-Source Library for Training Binarized Neural Networks☆720Updated 10 months ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Low Precision Arithmetic Simulation in PyTorch☆279Updated last year
- TFLite model analyzer & memory optimizer☆127Updated last year
- Quantization of Convolutional Neural networks.☆244Updated 10 months ago
- A small library for managing deep learning models, hyperparameters and datasets☆24Updated last year
- TVM integration into PyTorch☆453Updated 5 years ago
- Programmable Neural Network Compression☆148Updated 3 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆101Updated 4 months ago
- Codebase associated with the PyTorch compiler tutorial☆46Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- Scailable ONNX python tools☆97Updated 7 months ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆715Updated 2 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆131Updated 3 years ago
- PyTorch interface for the IPU☆180Updated last year
- ☆69Updated 2 years ago
- A self-contained version of the tutorial which can be easily cloned and viewed by others.☆24Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- QKeras: a quantization deep learning library for Tensorflow Keras☆566Updated last week
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆191Updated 6 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 3 years ago
- Fast sparse deep learning on CPUs☆53Updated 2 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆389Updated 4 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- Benchmark of TVM quantized model on CUDA☆111Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated last year
- A tensor-aware point-to-point communication primitive for machine learning☆258Updated 2 years ago