tinghao724 Goto Github PK

2019-05-06-adl-language-tools

Jupyter notebooks for Jim's language tools demo.

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

axolotl

Go ahead and axolotl questions

bap

Bayesian Analysis with Python (Second Edition)

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bigdata2018

bitpredict

Machine learning for high frequency bitcoin price prediction

book

Textbook to accompany class

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

causalml

Uplift modeling and causal inference with machine learning algorithms

cisc_project

colorizing-with-gans

Grayscale Image Colorization with Generative Adversarial Networks (GAN)

data-science

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

datascienceintrotinghao

deep-learning-book

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

embedder

Embed categorical variables via neural networks.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fang-stock-prediction

finance

Finance related data processing, quantitative modeling, and presentations.

finbert

BERT for Finance : UC Berkeley MIDS w266 Final Project

gnuplot-iostream

C++ interface to gnuplot

hpc

A quick reference to access NYU High Performance Computing

ir17

ir18

Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18

kaggle-web-traffic

1st place solution

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

leetcode

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.