mli / ag-docsLinks
☆13Updated 3 years ago
Alternatives and similar repositories for ag-docs
Users that are interested in ag-docs are comparing it to the libraries listed below
Sorting:
- Tutorials for writing high-performance GPU operators in AI frameworks.☆136Updated 2 years ago
- Compiler Infrastructure for Neural Networks☆147Updated 2 years ago
- MegCC是一个运行时超轻量,高效,移植简单的深度学习模型编译器☆489Updated last year
- This is a demo how to write a high performance convolution run on apple silicon☆57Updated 4 years ago
- My learning notes about AI, including Machine Learning and Deep Learning.☆18Updated 6 years ago
- 关于自建AI推理引擎的手册,从0开始你需要知道的所有事情☆272Updated 3 years ago
- This is an implementation of sgemm_kernel on L1d cache.☆233Updated last year
- ☆625Updated last month
- PSTensor provides a way to hack the memory management of tensors in TensorFlow and PyTorch by defining your own C++ Tensor Class.☆10Updated 3 years ago
- ☆98Updated 4 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆133Updated 2 years ago
- ☆22Updated 4 years ago
- LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training☆405Updated 6 months ago
- Distributed DataLoader For Pytorch Based On Ray☆24Updated 4 years ago
- 跨平台的容器化Linux桌面环境☆74Updated 11 months ago
- ☆69Updated 2 years ago
- MegEngine到其他框架的转换器☆70Updated 2 years ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆477Updated last year
- ☆219Updated 2 years ago
- DeepLearning Framework Performance Profiling Toolkit☆296Updated 3 years ago
- ☆192Updated 2 years ago
- symmetric int8 gemm☆66Updated 5 years ago
- Simple Dynamic Batching Inference☆145Updated 3 years ago
- ☆11Updated 4 years ago
- MegEngine Official Documentation☆39Updated last year
- ☆15Updated 3 years ago
- OneFlow->ONNX☆43Updated 2 years ago
- An experimental project for paddle python IR.☆15Updated 2 years ago
- A code generator from ONNX to PyTorch code☆142Updated 3 years ago
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆182Updated last month