anhungtung's Stars
jeffgortmaker/pyblp
BLP Demand Estimation with Python
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
Jingjing-NLP/VOLT
Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
peng-zhihui/XUAN
py-why/dowhy
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 graphical models and potential outcomes frameworks.
py-why/EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
flashlight/flashlight
A C++ standalone library for machine learning
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
numba/numba
NumPy aware dynamic Python compiler using LLVM
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
ansible/ansible
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 cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
WestHealth/pyvis
Python package for creating and visualizing interactive network graphs.
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
mJackie/RecSys
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
FinMind/FinMind
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/
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
microsoft/QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
scutan90/DeepLearning-500-questions
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
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
JackInTaiwan/alg-trading
A system works on auto stock trading based on machine learning algorithms.
shevajia/TaiwanReferendum
2018台灣公投結果中的不合理數據
lengstrom/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
shap/shap
A game theoretic approach to explain the output of any machine learning model.
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
EricChen1248/CitySimulator
107 DSAP Final Project
scikit-learn/scikit-learn
scikit-learn: machine learning in Python