hell-to-heaven Goto Github PK

rong360

用户贷款风险预测

rong360-model-training-in-multiple-financial-scenarios

top1解决方案

rong360-season2

Top 1 - code for rong360 data mining competition

rong360_2nd

第三届融360天机智能金融算法挑战赛-第二题：特征挖掘

rong360_feature_mining_1st_solution

rpje

AAAI 2020: Rule-Guided Compositional Representation Learning on Knowledge Graphs

rrpn

Source code of RRPN ---- Arbitrary-Oriented Scene Text Detection via Rotation Proposals

rrpn_faster-rcnn_tensorflow

A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.

rru-net

PyTorch implementation of RRU-Net is based on https://github.com/milesial/Pytorch-UNet

rtx-2080ti-vs-gtx-1080ti-cifar-100-benchmarks

s-h-esd

Timeseries Anomaly Detection using S-ESD and S-H-ESD

sa-vae

saachack-18

Hackathon conducted by RIT on security, smart cities,Augmented reality, Artificial intelligence. An intelligent traffic system was developed in this hackathon

sacn

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

san

Exploring Self-attention for Image Recognition, CVPR2020.

sanddance

Visually explore, understand, and present your data.

santander-product-recommendation-8th-place

sc-fegan

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

scan

PyTorch source code for "Stacked Cross Attention for Image-Text Matching"

scanssd

Scanning Single Shot Detector for Math in Document Images

scene-text-detection

scene-text-end2end

scene-text-recognition

scene-text-removal

EnsNet: Ensconce Text in the Wild

scene-text-understanding

OCR, Scene-Text-Understanding, Text Recognition

scene_text_segmentation

Pytorch implementation for pixel-wise scene text segmentation based on DeepLabV3+

sceneclassify

AI场景分类竞赛

scenereco

ctpn+crnn Scene character recognition

scenetextpapers

Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized

scnet

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"