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2018科大讯飞营销算法大赛(冠军方案)
A curated collection of useful Python snippets that you can understand in 30 seconds or less.
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
:alarm_clock: AI conference deadline countdowns
My own study notes about artificial intelligence technology
算法工具代码
Anomaly detection algorithm for social networks using Graph Neural Networks by leveraging graph parameteres, between centrality, degree, closeness, on Enron and Twitter datasets
Papers about developing deep Graph Neural Networks (GNNs)
这是BDCI2018的联通赛题第一名解决方案
Topological botnet detection datasets and graph neural network applications
Counterfactual Regression
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
Multi-layer convolutional LSTM with Pytorch
《C++ Primer》第五版中文版习题答案
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
Jupyter notebooks for using & learning Keras
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
TensorFlow implementation of Deep Reinforcement Learning papers
A PyTorch implementation of DeepFM for CTR prediction problem.
Learning deep representations by mutual information estimation and maximization
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
An implementation of a deep learning recommendation model (DLRM)
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
A pytorch implementation of "Dynamic Points Agglomeration for Hierarchical Point Sets Learning" (DPAM) (ICCV2019)
pyspark🍒🥭 is delicious,just eat it!😋😋
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.