larq / compute-engine
Highly optimized inference engine for Binarized Neural Networks
☆248Updated 3 weeks ago
Alternatives and similar repositories for compute-engine:
Users that are interested in compute-engine are comparing it to the libraries listed below
- Reference implementations of popular Binarized Neural Networks☆107Updated 3 weeks ago
- An Open-Source Library for Training Binarized Neural Networks☆712Updated 6 months ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆158Updated 3 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Low Precision Arithmetic Simulation in PyTorch☆272Updated 8 months ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆98Updated 3 weeks ago
- Programmable Neural Network Compression☆148Updated 2 years ago
- TVM integration into PyTorch☆452Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 4 years ago
- Quantization of Convolutional Neural networks.☆243Updated 6 months ago
- TFLite model analyzer & memory optimizer☆122Updated last year
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 2 years ago
- Scailable ONNX python tools☆96Updated 3 months ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆260Updated last year
- ☆69Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆317Updated 2 years ago
- tophub autotvm log collections☆70Updated 2 years ago
- Codebase associated with the PyTorch compiler tutorial☆44Updated 5 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 4 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆428Updated last year
- PyTorch RFCs (experimental)☆131Updated 5 months ago
- A small library for managing deep learning models, hyperparameters and datasets☆23Updated last year
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- TensorFlow-nGraph bridge☆136Updated 3 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆130Updated 2 years ago
- Explore the Capabilities of the TensorRT Platform☆261Updated 3 years ago
- The NNEF Tools repository contains tools to generate and consume NNEF documents☆223Updated this week
- MONeT framework for reducing memory consumption of DNN training☆174Updated 3 years ago
- Lightweight and Parallel Deep Learning Framework☆264Updated 2 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆696Updated 2 years ago