ConvNet training using pytorch
☆348Feb 4, 2021Updated 5 years ago
Alternatives and similar repositories for convNet.pytorch
Users that are interested in convNet.pytorch are comparing it to the libraries listed below
Sorting:
- ☆213Nov 23, 2018Updated 7 years ago
- ☆22Nov 24, 2018Updated 7 years ago
- Binarized Neural Network (BNN) for pytorch☆530Nov 6, 2023Updated 2 years ago
- Low Precision Arithmetic Simulation in PyTorch☆291May 20, 2024Updated last year
- ☆306Mar 5, 2021Updated 5 years ago
- A Torch wrapper for gSLICr super-pixel algorithm☆14Apr 1, 2016Updated 9 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 years ago
- PyTorch Implementation of XNOR-Net☆494Feb 27, 2023Updated 3 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Jun 7, 2020Updated 5 years ago
- The collection of training tricks of binarized neural networks.☆72Apr 2, 2021Updated 4 years ago
- Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeN…☆2,716Nov 22, 2022Updated 3 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆929Mar 9, 2023Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Jun 29, 2023Updated 2 years ago
- Unofficial Torch ECOS bindings to solve linear programs (LPs) and second-order cone programs (SOCPs).☆16Jul 18, 2016Updated 9 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
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,549Aug 28, 2019Updated 6 years ago
- A distributed torch framework for heterogeneous systems☆27Jan 12, 2019Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149May 25, 2017Updated 8 years ago
- Low precision Torch nn library using uint8_t GEMM (experiment)☆19Mar 13, 2016Updated 10 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Jul 25, 2024Updated last year
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62May 11, 2019Updated 6 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆128Jan 2, 2020Updated 6 years ago
- Some recent Quantizing techniques on PyTorch☆72Sep 8, 2019Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Mar 8, 2020Updated 6 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆403Feb 26, 2021Updated 5 years ago
- This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.☆173Jul 7, 2021Updated 4 years ago
- ☆48Jul 28, 2020Updated 5 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Nov 9, 2020Updated 5 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆1,065Nov 28, 2018Updated 7 years ago
- ☆17Jul 10, 2022Updated 3 years ago
- An implementation of shampoo☆78Mar 9, 2018Updated 8 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- Synchronized Batch Normalization implementation in PyTorch.☆1,503Apr 8, 2021Updated 4 years ago
- Code example for the ICLR 2018 oral paper☆151May 31, 2018Updated 7 years ago
- Torch bindings for FFmpeg (reading videos only)☆26Jul 13, 2016Updated 9 years ago
- Caffe Implementation for Incremental network quantization☆191Jul 29, 2018Updated 7 years ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆869Jun 11, 2020Updated 5 years ago
- alibabacloud-quantization-networks☆121Nov 8, 2019Updated 6 years ago