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harrytanme's Projects

research_public

Quantitative research and educational materials

scikit-learn-book

Source code for the "Learning scikit-learn: Machine Learning in Python"

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spacy-notebooks

💫 Jupyter notebooks for spaCy examples and tutorials

spark-movie-lens

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

stanford_cs224d

Here is the assignments code for Stanford cs224d course, deep learning for NLP, http://cs224d.stanford.edu

stanford_cs231n

This repo holds the assignments for Stanford CS231N course in 2017, http://cs231n.stanford.edu.

statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

tensorflow-lstm-regression

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

tensorflow-seq2seq-tutorials

Dynamic seq2seq in TensorFlow, step by step

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

text-mining-course

Course Notes for 590TXL, University of Illinois at Urbana-Champaign

text-summarization-with-amazon-reviews

A seq2seq model that can generate summaries from fine food reviews on Amazon.

textinfoexp

文本处理实践相关资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等。

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

time_series_2017

Time Series package from the MATH4560H Spring/Summer course, 2017

tmpnb

Creates temporary Jupyter Notebook servers using Docker containers.

tmpnb-deploy

Deploying tmpnb nodes

tsfresh

Automatic extraction of relevant features from time series:

zpar

ZPar statistical parser. Universal language support (depending on the availability of training data), with language-specific features for Chinese and English. Currently support word segmentation, POS tagging, dependency and phrase-structure parsing.

harrytanme Goto Github PK

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