yunfanLu / Decode-Video-by-Hardware
☆9Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Decode-Video-by-Hardware
- TVMScript kernel for deformable attention☆24Updated 2 years ago
- An object detection codebase based on MegEngine.☆28Updated last year
- Slides with modifications for a course at Tsinghua University.☆57Updated 2 years ago
- NeRF implementation in MegEngine☆9Updated 2 years ago
- Common template for pytorch project. Easy to extent and modify for new project.☆12Updated last year
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Updated last year
- Large scale image dataset visiualization tool.☆116Updated last year
- ☆34Updated 2 years ago
- ☆33Updated 3 years ago
- Channel Equilibrium Networks for Learning Deep Representation, ICML2020☆20Updated 4 years ago
- Market-1501 dataset with super-resolution quality☆18Updated 2 years ago
- Official MegEngine Implementation of Real-Time Intermediate Flow Estimation for Video Frame Interpolation☆29Updated 2 years ago
- ICCV DeeperAction Challenge - Kinetics-TPS Challenge on Part-level Action Parsing and Action Recognition.☆15Updated 3 years ago
- Latex style file to facilitate writing of technical papers☆37Updated 8 years ago
- You are welcomed to join us!☆50Updated 4 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆69Updated 2 years ago
- Towards High Performance Human Keypoint Detection☆26Updated 4 years ago
- ☆25Updated 3 years ago
- This is a repo for my training cuda code.☆9Updated 4 years ago
- MegEngine到其他框架的转换器☆67Updated last year
- A practice for million-scale multi-domain universal object detection☆22Updated 4 months ago
- Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments☆13Updated last year
- A library of transformer models for computer vision and multi-modality research☆49Updated 3 years ago
- This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.☆19Updated last year
- useful dotfiles included vim, zsh, tmux and vscode☆17Updated last week