Stars
Lime: Explaining the predictions of any machine learning classifier
Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"
A topic-centric list of HQ open datasets.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
A C++ standalone library for machine learning
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
NumPy aware dynamic Python compiler using LLVM
Implementation and experiments of graph embedding algorithms.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
Python package for creating and visualizing interactive network graphs.
Keras Temporal Convolutional Network. Supports Python and R.
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/
A collection of various deep learning architectures, models, and tips
Tutorials and programming exercises for learning Q# and quantum computing
My blogs and code for machine learning. http://cnblogs.com/pinard
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A system works on auto stock trading based on machine learning algorithms.
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
A game theoretic approach to explain the output of any machine learning model.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
scikit-learn: machine learning in Python