shlguagua's repositories
volumePrediction
Forecasting-Intraday-Trading-Volume
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.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
causalml
Uplift modeling and causal inference with machine learning algorithms
Stock-factor-pool
初始因子池中行情类因子8个，财务类因子共26个，其中市值因子6个、质量因子6个、成长因子6个和资产负债因子8个，技术类因子36个，上述所有因子的具体含义及相关的数学表达式
qte
R qte package
GeoMAN
A deep learning approach for spatio-temporal forecasting
Awesome-Geospatial
Long list of geospatial tools and resources
doctor
201809
pwc
Papers with code. Sorted by stars. Updated weekly.
ai_law_judger
judicial/trial engine with knowledge graph
MachineLearning
Machine learning algorithms implemented by pure numpy
DeepST
Deep Learning for Spatio-Temporal Data
Time-series---deep-learning---state-of-the-art
Scientific time series and deep learning state of the art
notebooks
collection of iPython notebooks
crnn
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
hed
code for Holistically-Nested Edge Detection
TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
tensorflow
Computation using data flow graphs for scalable machine learning
DeepLearning
Translation of papers in Deep Learning Research
hello-word
just try it ! 2017-02-05 first day , go to work .
tensorflow-text-recognition
Fall 2016 - Computer Vision Project - Text Recognition with Convolutional Neural Networks
libmaxdiv
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
time-series-classification
Short and long time series classification using convolutional neural networks
busUnBunchr
Working code for Insight Data Science product