OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

paper implement

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, includi…

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

ncnn is a high-performance neural network inference framework optimized for the mobile platform

My Solutions to Leetcode problems. All solutions support C++ language, some support Java and Python. Multiple solutions will be given by most problems. Enjoy:) 我的Leetcode解答。所有的问题都支持C++语言，一部分问题支持Jav…

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

An Open Source Machine Learning Framework for Everyone

C++ implementation of several image contrast enhancement techniques.

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

Codes of my MOOC Course <Play Data Structures in Java>. Updated contents and practices are also included. 我在慕课网上的课程《Java语言玩转数据结构》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

opencv

在Android使用深度学习模型实现图像识别，本项目提供了多种使用方式，使用到的框架如下：Tensorflow Lite、Paddle Lite、MNN、TNN

Fast, Accurate and Lightweight Super-Resolution models

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

This is a collection of works on neural networks and neural accelerators.

A curated list of awesome architecture search resources

The Contextual Loss

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Collection of popular and reproducible image denoising works.

Deformable Convolutional Networks

A collection of high-impact and state-of-the-art SR methods

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).