jwfromm / Riptide
Simple Training and Deployment of Fast End-to-End Binary Networks
☆158Updated 2 years ago
Alternatives and similar repositories for Riptide:
Users that are interested in Riptide are comparing it to the libraries listed below
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- ☆66Updated 5 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- Quantization of Convolutional Neural networks.☆243Updated 5 months ago
- Benchmark of TVM quantized model on CUDA☆111Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆156Updated 4 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 2 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆241Updated 2 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆166Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆275Updated last year
- Reference implementations of popular Binarized Neural Networks☆106Updated 3 weeks ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆260Updated last year
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆190Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆40Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- tophub autotvm log collections☆70Updated 2 years ago
- ☆213Updated 6 years ago
- Low Precision Arithmetic Simulation in PyTorch☆271Updated 8 months ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆378Updated 3 years ago
- Network acceleration methods☆178Updated 3 years ago
- aw_nas: A Modularized and Extensible NAS Framework☆246Updated last year
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- ☆55Updated 4 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆196Updated 2 years ago
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆201Updated 2 years ago
- Repository containing pruned models and related information☆37Updated 3 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆39Updated last year
- Caffe implementation of accurate low-precision neural networks☆117Updated 6 years ago