Deep-Spark / DeepSparkHubLinks
DeepSparkHub selects hundreds of application algorithms and models, covering various fields of AI and general-purpose computing, to support the mainstream intelligent computing scenarios. This repository is the mirror of Gitee.
☆67Updated last week
Alternatives and similar repositories for DeepSparkHub
Users that are interested in DeepSparkHub are comparing it to the libraries listed below
Sorting:
- The DeepSpark open platform selects hundreds of open source application algorithms and models that are deeply coupled with industrial app…☆44Updated 2 weeks ago
- ☆30Updated 2 months ago
- ☆128Updated 8 months ago
- ☆59Updated 9 months ago
- Serving Inside Pytorch☆163Updated last month
- ☆88Updated this week
- ☆141Updated last year
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆84Updated 2 years ago
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆263Updated last month
- ☆150Updated 8 months 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☆486Updated 10 months ago
- Tutorials for writing high-performance GPU operators in AI frameworks.☆131Updated 2 years ago
- TensorRT Plugin Autogen Tool☆367Updated 2 years ago
- A tutorial for CUDA&PyTorch☆154Updated 7 months ago
- DeepSparkInference has selected 216 inference models of both small and large sizes. The small models cover fields such as computer vision…☆24Updated last week
- OneFlow->ONNX☆43Updated 2 years ago
- run ChatGLM2-6B in BM1684X☆49Updated last year
- Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .☆131Updated last week
- CUDA 6大并行计算模式 代码与笔记☆60Updated 5 years ago
- 动手学习TVM核心原理教程☆63Updated 4 years ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆477Updated last year
- heterogeneity-aware-lowering-and-optimization☆257Updated last year
- ☆98Updated 4 years ago
- Common libraries for PPL projects☆29Updated 6 months ago
- ☆37Updated 11 months ago
- autoTVM神经网络推理代码优化搜索演示,基于tvm编译开源模型centerface,并使用autoTVM搜索最优推理代码, 最终部署编译为c++代码,演示平台是cuda,可以是其他平台,例如树莓派,安卓手机,苹果手机.Thi is a demonstration of …☆28Updated 4 years ago
- A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架,快速基于AI全栈服务、开发跨端边云的AI行业应用,支持GPU,…☆156Updated last year
- ☆60Updated this week
- DeepLearning Framework Performance Profiling Toolkit☆288Updated 3 years ago
- Run generative AI models in sophgo BM1684X/BM1688☆240Updated last week