Pinned Repositories
AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
apitrace
Tools for tracing OpenGL, Direct3D, and other graphics APIs
Linux-back-end-skills
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PaddleClas
A treasure chest for image classification powered by PaddlePaddle
PaddleCustomDevice
PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)
PaddleNLP
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.
systemtap-android
A collection of scripts, tools and sourcecode to build and install systemtap on android
ucos-ii_fot_stm32f103ZET6
pybind11
Seamless operability between C++11 and Python
Aganlengzi's Repositories
Aganlengzi/Linux-back-end-skills
Aganlengzi/AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Aganlengzi/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Aganlengzi/PaddleClas
A treasure chest for image classification powered by PaddlePaddle
Aganlengzi/PaddleCustomDevice
PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)
Aganlengzi/PaddleNLP
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.
Aganlengzi/AscendCL_OpTest
sample and log files for ascend 910 ops
Aganlengzi/benchmark
Aganlengzi/CINN
Compiler Infrastructure for Neural Networks
Aganlengzi/docs
Documentations for PaddlePaddle
Aganlengzi/FasterTransformer
Transformer related optimization, including BERT, GPT
Aganlengzi/llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
Aganlengzi/mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Aganlengzi/mlc-zh
Aganlengzi/oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Aganlengzi/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Aganlengzi/Paddle-Lite
Multi-platform high performance deep learning inference engine (飞桨多端多平台高性能深度学习推理引擎）
Aganlengzi/Paddle-Lite-Demo
lib, demo, model, data
Aganlengzi/paddle_customcpu
A customcpu demo for paddlepaddle-plugin device
Aganlengzi/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Aganlengzi/PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
Aganlengzi/paddlepaddle_ascend910
PaddlePaddle Ascend910 Plugin Demo
Aganlengzi/PaddleRec
大规模推荐模型训练工具
Aganlengzi/PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
Aganlengzi/PaddleVideo
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
Aganlengzi/PARL
A high-performance distributed training framework for Reinforcement Learning
Aganlengzi/tensorflow
An Open Source Machine Learning Framework for Everyone
Aganlengzi/tensorflow-examples
TensorFlow examples
Aganlengzi/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Aganlengzi/tvm_mlir_learn
tvm learn