Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
☆20Feb 24, 2019Updated 7 years ago
Alternatives and similar repositories for Loss-aware-Binarization
Users that are interested in Loss-aware-Binarization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆27Oct 24, 2019Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- The quantization of CNN/LSTM☆11Mar 26, 2017Updated 9 years ago
- Implementation for Trained Ternary Network.☆108Jan 13, 2017Updated 9 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Jul 24, 2024Updated last year
- Two-Step Quantization on AlexNet☆13Jun 29, 2018Updated 7 years ago
- A PyTorch implementation of MixNet: Mixed Depthwise Convolutional Kernels☆11Aug 5, 2019Updated 6 years ago
- Knowledge distillation implemented in TensorFlow☆18Aug 29, 2017Updated 8 years ago
- Reducing the size of convolutional neural networks☆113Nov 28, 2017Updated 8 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Nov 15, 2020Updated 5 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆155Aug 23, 2017Updated 8 years ago
- Papers, sites and slides for Adversarial Training☆17Jun 30, 2020Updated 5 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Jul 25, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Feb 7, 2020Updated 6 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Aug 4, 2017Updated 8 years ago
- ☆52Mar 7, 2019Updated 7 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Nov 3, 2017Updated 8 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 years ago
- Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…☆28Apr 12, 2018Updated 8 years ago
- PyTorch Implementation of XNOR-Net☆493Feb 27, 2023Updated 3 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Jul 25, 2019Updated 6 years ago
- ☆213Nov 23, 2018Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 2020Updated 6 years ago
- Code for the paper: Network Decoupling: From Regular to Depthwise Separable Convolutions☆13Dec 9, 2018Updated 7 years ago
- ☆11Feb 18, 2022Updated 4 years ago
- ☆12Mar 21, 2024Updated 2 years ago
- Research_speech_speaker_verification_nist_sre2010☆12Mar 1, 2016Updated 10 years ago
- A preliminary platform for up to 1 million reinforcement learning agents☆11Aug 27, 2017Updated 8 years ago
- 随机扒取古诗文词语作为git的commit msg☆11Jan 16, 2017Updated 9 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Oct 7, 2019Updated 6 years ago
- ☆11Jan 10, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is a python library. Install with "python3 -m pip install rp" then run with "python3 -m rp" or just "rp". Requires python≥3.5☆13Mar 17, 2026Updated 3 weeks ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Sep 17, 2018Updated 7 years ago
- ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition☆16Nov 7, 2020Updated 5 years ago
- Unbounded cache model for online language modeling with open vocabulary☆11Feb 15, 2019Updated 7 years ago
- AC3ESBrowser is a tool for analyzing ac3/eac3 bitstreams☆12Feb 27, 2015Updated 11 years ago
- Efficient forward propagation for BCNNs☆49Jun 12, 2017Updated 8 years ago
- Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models w…☆10Mar 27, 2024Updated 2 years ago