civat / DL-Theory-Practice
Deep Learning Theory and Practice
☆21Updated last year
Alternatives and similar repositories for DL-Theory-Practice:
Users that are interested in DL-Theory-Practice are comparing it to the libraries listed below
- Implementation of Conv-based and Vit-based networks designed for CIFAR.☆72Updated 2 years ago
- Unofficial PyTorch implementation of MobileViT based on paper "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Trans…☆117Updated 2 years ago
- An unofficial implementation of MobileNetV4 in Pytorch☆156Updated 9 months ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆74Updated last year
- 针对pytorch模型的自动化模型结构分析和修改工具集,包含自动分析模型结构的模型压缩算法库☆246Updated last year
- RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization☆173Updated last year
- Official implementation of paper "Masked Distillation with Receptive Tokens", ICLR 2023.☆68Updated last year
- [T-PAMI'23] PAGCP for the compression of YOLOv5☆117Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆86Updated last year
- A PyTorch implementation of FasterNet: Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks☆27Updated last year
- Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.☆82Updated 10 months ago
- RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is la…☆211Updated last year
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆37Updated 2 years ago
- ☆230Updated 2 years ago
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆65Updated last year
- Post-Training Quantization for Vision transformers.☆203Updated 2 years ago
- [ECCV 2022] EdgeViT: Competing Light-weight CNNs on Mobile Devices with Vision Transformers☆105Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆121Updated 2 years ago
- ☆45Updated 2 years ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆65Updated 6 months ago
- Masked Generative Distillation (ECCV 2022)☆215Updated 2 years ago
- Official implement for ICML2023 paper: "A Closer Look at Self-Supervised Lightweight Vision Transformers"☆122Updated last year
- Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)☆78Updated 4 years ago
- PyTorch code and checkpoints release for OFA-KD: https://arxiv.org/abs/2310.19444☆109Updated 10 months ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆65Updated 2 years ago
- ☆45Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆73Updated 2 years ago
- ☆14Updated 4 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆323Updated last year