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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

avod

Code for 3D object detection for autonomous driving

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

codinginterviews

剑指Offer——名企面试官精讲典型编程题

design-patterns-cpp

《大话设计模式》C++实现

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

how-to-optimize-gemm

imaotai-reserve

Actions自动预约i茅台

interview-code-practice-python

面试题

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mnn

MNN is a lightweight deep neural network inference engine.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorchtocaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1

refinedet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tengine-convert-tools

Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tft-overlay

Overlay for Teamfight Tactics

tnn

TNN：由腾讯优图实验室打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。