nkhuyu

bigdata

Introduction to Big Data

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

dedupe

A python library for accurate and scaleable data deduplication and entity-resolution.

DeepLearningMovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

h2o

h2o = fast statistical, machine learning & math runtime for bigdata

langid.py

Stand-alone language identification system

mincemeatpy

Lightweight MapReduce in python

python-LDA

lda模型的python实现

nkhuyu/nbdev_test.github.io

nkhuyu/algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

nkhuyu/allennlp

An open-source NLP research library, built on PyTorch.

nkhuyu/Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

nkhuyu/awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

nkhuyu/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

nkhuyu/azure-search-openai-demo

Demonstration of how to leverage Azure OpenAI and Cognitive Search to enable Information Search and Discovery over organizational content

nkhuyu/bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

nkhuyu/bert

TensorFlow code and pre-trained models for BERT

nkhuyu/bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

nkhuyu/DALEX

Descriptive mAchine Learning EXplanations

nkhuyu/docker-python

Kaggle Python docker image

nkhuyu/DrWhy

DrWhy is the collection of tools for Explainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

nkhuyu/duckling

Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

nkhuyu/fastai

The fastai deep learning library, plus lessons and and tutorials

nkhuyu/gazp

Source code for Grounded Adaptation for Zero-shot Executable Semantic Parsing

nkhuyu/grappa

nkhuyu/h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

nkhuyu/handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

nkhuyu/hnatt

Train and visualize Hierarchical Attention Networks

nkhuyu/interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.

nkhuyu/keras-flask-deploy-webapp

:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

nkhuyu/LearnAI-KnowledgeMiningBootcamp

Learn to build an enterprise scale intelligent search solution for searching business documents using Microsoft Azure and Cognitive Search

nkhuyu/lime

Lime: Explaining the predictions of any machine learning classifier

nkhuyu/nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

nkhuyu/PDPbox

python partial dependence plot toolbox

nkhuyu/RNNForTimeSeriesForecasting

A tutorial demonstrating how to implement recurrent neural networks for time series forecasting

nkhuyu/task_oriented_dialogue_as_dataflow_synthesis

Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).

nkhuyu/TransmogrifAI

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

nkhuyu/yu_blog

https://nkhuyu.github.io/yu_blog/