ThinkLock's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
GrowingGit/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
mli/paper-reading
深度学习经典、新论文逐段精读
Wox-launcher/Wox
A cross-platform launcher that simply works
fengdu78/lihang-code
《统计学习方法》的代码实现
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
ddbourgin/numpy-ml
Machine learning, in numpy
bbfamily/abu
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
ctgk/PRML
PRML algorithms implemented in Python
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
wzhe06/Ad-papers
Papers on Computational Advertising
DengBoCong/nlp-paper
自然语言处理领域下的相关论文(附阅读笔记),复现模型以及数据处理等(代码含TensorFlow和PyTorch两版本)
yangxudong/deeplearning
深度学习相关的模型训练、评估和预测相关代码
qiaoguan/deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Freemanzxp/GBDT_Simple_Tutorial
python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
Magic-Bubble/RecommendSystemPractice
《推荐系统实践》代码实现
motefly/DeepGBM
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
hwwang55/KGCN
A tensorflow implementation of Knowledge Graph Convolutional Networks
liudragonfly/GBDT
A simple GBDT in Python
stasi009/Recommend-Estimators
Classical RecSys algorithms implemented by using TensorFlow Estimators
jaimeps/adaboost-implementation
Implementation of AdaBoost algorithm in Python
Leputa/Machine-Learning-Foundations-Techniques
jennyzhang0215/STAR-GCN
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
researchmm/DBTNet
Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
99731/M2GRL
A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
CartoDB/python-quadkey
native library to manage quadkey in a fast way
augboost-anon/augboost
Gradient Boosting Enhanced with Step-Wise Feature Augmentation
radtek/NetSupport
优易是为移动定制的移动端优化软件,提供小区名称、TAC、PCI、CGI、频点、Band、频率、RSRP、RSRQ、SINR及邻区等实时测试信息,提供百度地图、热力图、4G小区图、规划图、测试log轨迹图等图层生成功能。便于前台人员脱离笨重、耗电的电脑,携带手机即可完成现场查勘、优化等工作。
AndroidSDKSources/android-sdk-sources-for-api-level-16
This is only a backup for Android SDK Sources for API Level 16 [Android 4.1/4.1.1].