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causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

coursera-stanford-divide-and-conquer-sorting-and-searching-and-randomized-algorithms

Notebook for quick search

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datacamp-python-data-science-track

All the slides, accompanying code and exercises all stored in this repo. 🎈

datasciencecoursera

project

datasharing

The Leek group guide to data sharing

dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

driver_behavior_analysis

Estimating driver safety on Pointer's dataset

driving_behaviour_classification

LSTM for driving behaviour classification

dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

enel645_project

generator

The popular GENIE Generator product is used by nearly all accelerator neutrino experiments and it plays a key role in the exploitation of neutrino data. The Generator implements a modern software framework and it includes state-of-the-art physics modules. It captures the latest results of the GENIE global analysis of neutrino scattering data and includes several tunes that were produced using the proprietary Comparisons and Tuning products. The GENIE physics model is universal and comprehensive: It handles all neutrinos and targets, and all processes relevant from MeV to PeV energy scales. The Generator includes several tools (flux drivers, detector geometry navigators, specialized event generation apps, event reweighting engines) to simulate complex experimental setups in full detail and to support generator-related analysis tasks.

kde

Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth

kedro

A Python framework for creating reproducible, maintainable and modular data science code.

keras

Deep Learning for humans

lab

A customisable 3D platform for agent-based AI research

mceq

Matrix cascade equation core code

names

Analysis of most poisoned names in US

neuralcoref

✨Fast Coreference Resolution in spaCy with Neural Networks

neuttorootracker

A tool for converting the output of the neut simple generator to a rooTracker-like format

nn4ocmsp

Out-of-control signal interpretation in multiple stream processes using artificial neural networks

pisa

Monte Carlo-based data analysis

playground

side projects

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

statistical-learning

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course