OpenPPL / ppl.nnLinks
A primitive library for neural network
☆1,364Updated 11 months ago
Alternatives and similar repositories for ppl.nn
Users that are interested in ppl.nn are comparing it to the libraries listed below
Sorting:
- ppl.cv is a high-performance image processing library of openPPL supporting various platforms.☆511Updated last year
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆901Updated 10 months ago
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆953Updated 6 months ago
- TensorRT Plugin Autogen Tool☆368Updated 2 years ago
- ☆1,039Updated last year
- 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 last year
- row-major matmul optimization☆682Updated 2 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆995Updated last year
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,753Updated last year
- A library for high performance deep learning inference on NVIDIA GPUs.☆557Updated 3 years ago
- Model Quantization Benchmark☆844Updated 6 months ago
- Simple samples for TensorRT programming☆1,644Updated 5 months ago
- Deploy your model with TensorRT quickly.☆765Updated last year
- Adlik: Toolkit for Accelerating Deep Learning Inference☆807Updated last year
- ☆619Updated last year
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆479Updated last year
- A CPU tool for benchmarking the peak of floating points☆563Updated 3 months ago
- Machine learning compiler based on MLIR for Sophgo TPU.☆810Updated last week
- Dive into Deep Learning Compiler☆646Updated 3 years ago
- A parser, editor and profiler tool for ONNX models.☆460Updated 2 months ago
- ☆1,936Updated 2 years ago
- compiler learning resources collect.☆2,563Updated 7 months ago
- ONNX Optimizer☆768Updated last week
- ☆301Updated 3 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆405Updated 2 years ago
- Compiler Infrastructure for Neural Networks☆147Updated 2 years ago
- Several simple examples for popular neural network toolkits calling custom CUDA operators.☆1,515Updated 4 years ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆852Updated 2 months ago
- A model compilation solution for various hardware☆451Updated 2 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…☆1,173Updated 2 years ago