fahaihappy Goto Github PK

2017-ccf-bdci-aijudge

2017-CCF-BDCI-让AI当法官 初赛 7th/415 (Top 1.68%)

annotation-tool

awesome-semantic-segmentation

awesome-semantic-segmentation

baai-2020-crowdhuman-baseline

IterDet: Iterative Scheme for Object Detection in Crowded Environments

caffe_code_analysis

Caffe_Code_Analysis

cemrclass

Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016

cnngraph

A tool that automatically extracts network structures from Tensorflow model files

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deephsv

source codes for paper: DeepHSV: User-independent Offline Signature Verification Using Two-Channel CNN

dehazenet

DehazeNet: An End-to-End System for Single Image Haze Removal

dlib_install

dureader

Baseline Systems of DuReader Dataset

facerank

FaceRank - Rank Face by CNN Model based on TensorFlow (add result picture). FaceRank-人脸打分基于 TensorFlow 的 CNN 模型（有图有真相）（QQ群：522785813）。

fahaihappy.github.io

博客

faster-rcnn_tf

Faster-RCNN in Tensorflow

fastfpn

Tensorflow implementation for "Feature Pyramid Networks for Object Detection"

generative_inpainting

Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jhyu.me/demo

hyperface-with-squeezenet

Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hyperface.py concatenates feature maps from initial, mid and final layers of the network and then branches out to different heads. multiout.py branches from the final layer of the network to different heads. DataGen2.py is the Data Generator used for reading multiple labels from json files. It is a modified version of Keras's default Data Generator. The idea is based on the following paper - [1] R. Ranjan, V. M. Patel, and R. Chellappa. Hyperface: A deep multitask learning framework for face detection, landmark localization, pose estimation, and gender recognition. CoRR, abs/1603.01249, 2016. The implementation is slightly different. The original HyperFace architecture is built on top of AlexNet while the implementation here uses another architecture called SqueezeNet.

igan

Interactive Image Generation via Generative Adversarial Networks

interview-questions

Interview Questions

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

kaggle-quora-question-pairs

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

learnopencv

Learn OpenCV : C++ and Python Examples

mask_rcnn

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

md_pic

mx-maskrcnn

A MXNet implementation of Mask R-CNN

neural_net

Neural netwrok to recognize and dehaze underwater images using Tensorflow. For additional information contact us: Aleks Attanasio: ([email protected]), Nataliya Nechyporenko ([email protected])

paddlehub_face_model