OpenPPL / ppl.nn
A primitive library for neural network
☆1,291Updated this week
Related projects ⓘ
Alternatives and complementary repositories for ppl.nn
- ppl.cv is a high-performance image processing library of openPPL supporting various platforms.☆493Updated last week
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆815Updated 2 months ago
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,548Updated 7 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☆474Updated 2 weeks ago
- Simple samples for TensorRT programming☆1,510Updated last week
- row-major matmul optimization☆590Updated last year
- ☆988Updated 7 months ago
- nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础,致力为用户提供跨平台、简单易用、高性能的模型部署体验。☆629Updated this week
- how to optimize some algorithm in cuda.☆1,569Updated this week
- Deploy your model with TensorRT quickly.☆760Updated 11 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆959Updated last month
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆915Updated 3 months ago
- TensorRT Plugin Autogen Tool☆367Updated last year
- A library for high performance deep learning inference on NVIDIA GPUs.☆547Updated 2 years ago
- compiler learning resources collect.☆2,138Updated 5 months ago
- PyTorch Neural Network eXchange☆517Updated 2 weeks ago
- ONNX-TensorRT: TensorRT backend for ONNX☆2,948Updated this week
- Model Quantization Benchmark☆762Updated 5 months ago
- ☆588Updated 5 months ago
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆822Updated last year
- Several simple examples for popular neural network toolkits calling custom CUDA operators.☆1,332Updated 3 years ago
- Machine learning compiler based on MLIR for Sophgo TPU.☆608Updated this week
- ☆225Updated 2 years ago
- Actively maintained ONNX Optimizer☆644Updated 8 months ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆748Updated 2 weeks ago
- Sample codes for my CUDA programming book☆1,567Updated last year
- Dive into Deep Learning Compiler☆641Updated 2 years ago
- how to learn PyTorch and OneFlow☆347Updated 7 months ago
- ☆2,187Updated 9 months ago
- A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.☆1,331Updated this week