BertMoons / QuantizedNeuralNetworks-Keras-TensorflowLinks
Quantized Neural Networks - networks trained for inference at arbitrary low precision.
☆146Updated 7 years ago
Alternatives and similar repositories for QuantizedNeuralNetworks-Keras-Tensorflow
Users that are interested in QuantizedNeuralNetworks-Keras-Tensorflow are comparing it to the libraries listed below
Sorting:
- BNN implementation in tensorflow☆167Updated 6 years ago
- Caffe Implementation for Incremental network quantization☆192Updated 6 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- ☆62Updated 7 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Keras implementations of BinaryNet and XNORNet☆55Updated 7 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆94Updated 6 years ago
- ☆213Updated 6 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆156Updated 7 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 6 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆230Updated 3 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 7 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- Quantization of Convolutional Neural networks.☆243Updated 10 months ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Tutorials on Quantized Neural Network using Tensorflow Lite☆87Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆191Updated 6 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago
- Tensorflow quantization (float32-->int8) inference test☆74Updated 6 years ago
- DNN quantization with outlier channel splitting☆112Updated 5 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery☆33Updated 7 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆106Updated 6 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆300Updated 3 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆290Updated 5 years ago