fieldren Goto Github PK

ai_challenger_2018

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

caffe_code_analysis

Caffe_Code_Analysis

cv-papers-codes

CV 方向论文阅读以及手写代码实现

detect-nerve

Medical image analysis, to find a nerve tissue and get its location in an image.

facenet

Face recognition using Tensorflow

faster-rcnn_tf

Faster-RCNN in Tensorflow

faster_rcnn

Faster R-CNN

fastmaskrcnn

Mask RCNN in TensorFlow

fieldren.github.io

My personal blog

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

huxpro.github.io

My Blog / Jekyll Themes / PWA

jekyll-theme-next

Elegant theme for Jekyll.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

kubeflow

Machine Learning Toolkit for Kubernetes

learning-opencv-3_examples

models

Models and examples built with TensorFlow

mx-maskrcnn

An MXNet implementation of Mask R-CNN

my_image

netease-musicbox

网易云音乐命令行版本，排行榜，搜索，精选歌单，登录，DJ节目，快速打碟，本地收藏歌单

nsfw_data_scrapper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

object_detection

openmvg

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

pcn

Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.

py-faster-rcnn

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

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

scene

scikit-learn

scikit-learn: machine learning in Python

scripts-for-myself

自用脚本合集

styleguide

Style guides for Google-originated open-source projects

svhnclassifier

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)