TuoUP's Stars
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
qianguyihao/Web
千古前端图文教程,超详细的前端入门到进阶知识库。从零开始学前端,做一名精致优雅的前端工程师。
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
heibaiying/BigData-Notes
大数据入门指南 :star:
gcc-mirror/gcc
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
aksnzhy/xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Cartucho/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
eastlakeside/awesome-productivity-cn
绝妙的个人生产力(Awesome Productivity - Chinese version)
alibaba/EasyRec
A framework for large scale recommendation algorithms.
PeterWang512/FALdetector
Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop
dingjiansw101/AerialDetection
xxradon/PytorchToCaffe
Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs
bitcarmanlee/easy-algorithm-interview-and-practice
DataCanvasIO/DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
JackieZhangdx/WeakSupervisedSegmentationList
This repository contains lists of state-or-art weakly supervised semantic segmentation works
AlphaSmartDog/DeepLearningNotes
机器学习和量化分析学习进行中
YimingCuiCuiCui/awesome-weakly-supervised-segmentation
taenggu0309/Scorecard--Function
建立一个评分卡模型的代码包
ShowMeAI-Hub/multi-task-learning
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
XuefengHuang/awesome-ML-book-chinese
slientGe/Sequential_Recommendation_Tensorflow
Several sequential recommended models implemented by tenosrflow1.x
cgnorthcutt/hypopt
⏸ Parallelized hyper-param optimization with validation set, not crossval
maenzhier/GRecX
An Efficient and Unified Benchmark for GNN-based Recommendation.
ciecus/MKM-SR
Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation
vpetren/gradnorm_tf
TensorFlow implementation of GradNorm
Deepcong2019/yolov3.keras
train、eval、predict for yolov3 based on keras。
fajieyuan/universal_user_representation
papers of universal user representation learning for recommendation
Cedarmo/algorithm_summary
对算法的总结以及个人的观点