jiehuang2000 Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

cancartnate_non_overlap_exons

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

common-machine-methods

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cryp_init_caller

cryptic-initiation-test

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning.ai-notes

These are my personal notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

first-repo

getting_cleanning_data_pa

git_test_make

gitrepotest

h2o-3

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

jenkins-on-openshift

Application CI/CD on OpenShift with Jenkins

kaggle-api

Official Kaggle API

keras-resnet

Keras package for deep residual networks

lucid

A collection of infrastructure and tools for research in neural network interpretability.

macs

MACS -- Model-based Analysis of ChIP-Seq

newgittest

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

phecap

High-Throughput Phenotyping with Electronic Health Records using a Common Automated Pipeline

prediction-constrained-topic-models

Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on labeled bag-of-words dataset, as described in Hughes et al. AISTATS 2018

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

python-programming-exercises

100+ Python challenging programming exercises

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research