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Name: APTX
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Name: APTX
Type: User
Bio: DATA
Papers on Computational Advertising
Minimal examples of data structures and algorithms in Python
A repository with IPython notebooks of algorithms implemented in Python.
Anomaly detection related books, papers, videos and toolboxes
Deep Learning and deep reinforcement learning research papers and some codes
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Awesome-Text-Classification Projects,Papers,Tutorial .
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
A Python implementation of global optimization with gaussian processes.
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
Python Solutions on Codewars
Converter tools for Core ML.
Cracking the Coding Interview 6th Ed. Python Solutions
Differentiable architecture search for convolutional and recurrent networks
Programming with Python for Data Science Microsoft
Data Analysis Using Python
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Code material for a data science tutorial
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Introduction to Deep Neural Networks with Keras and Tensorflow
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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,近30万字。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
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
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.