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ai-matrix

To make it easy to benchmark AI accelerators

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

eigenchinesedocument

This is my translation of Chinese document of Eigen

gcn

Implementation of Graph Convolutional Networks in TensorFlow

glow

Compiler for Neural Network hardware accelerators

halide

a language for fast, portable data-parallel computation

incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

inference

Reference implementations of inference benchmarks

keras-yolov4

supports training, at least 41.1% mAP.支持训练，至少41.1%mAP。少数的给出精度的复现。

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

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.

models

Models and examples built with TensorFlow

paddle-lite

Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）

slim_cnn_estimator

Train CNN model by tf.estimator

tensorboard

TensorFlow's Visualization Toolkit

tensorboard-plugin-example

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tensorrt

TensorFlow/TensorRT integration