MegEngine / examplesLinks
A set of examples around MegEngine
☆31Updated last year
Alternatives and similar repositories for examples
Users that are interested in examples are comparing it to the libraries listed below
Sorting:
- MegEngine到其他框架的转换器☆70Updated 2 years ago
- ☆36Updated 2 years ago
- Offline Quantization Tools for Deploy.☆135Updated last year
- TensorRT 2022复赛方案: 首个基于Transformer的图像重建模型MST++的TensorRT模型推断优化☆141Updated 3 years ago
- 🐱 ncnn int8 模型量化评估☆13Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆22Updated 2 years ago
- Slides with modifications for a course at Tsinghua University.☆61Updated 3 years ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆47Updated 2 years ago
- CUDA Templates for Linear Algebra Subroutines☆100Updated last year
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆34Updated 3 years ago
- CVFusion is an open-source deep learning compiler to fuse the OpenCV operators.☆31Updated 2 years ago
- ☆44Updated 4 years ago
- quantize aware training package for NCNN on pytorch☆69Updated 4 years ago
- NART = NART is not A RunTime, a deep learning inference framework.☆37Updated 2 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆35Updated 3 years ago
- ☆61Updated last year
- NVIDIA TensorRT Hackathon 2023复赛选题:通义千问Qwen-7B用TensorRT-LLM模型搭建及优化☆42Updated last year
- ☆24Updated 2 years ago
- OneFlow->ONNX☆43Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆224Updated 3 years ago
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- ☆26Updated 2 years ago
- TensorRT 2022 亚军方案,tensorrt加速mobilevit模型☆68Updated 3 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- Model Quantization Benchmark☆17Updated last month
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆44Updated 4 years ago
- ☆17Updated last year
- CUDA 6大并行计算模式 代码与笔记☆60Updated 5 years ago
- Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆64Updated 4 years ago
- ☆98Updated 4 years ago