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20-papers-reading-and-replicate-results

* We aim to quickly read 20 papers and replicate their results.

ait-thesis-latex-template

AIT Thesis - LaTeX Template

attract-repel

The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.

basic-clojure-sprint3r

bipolarabasolver

broadleafcommerce

Broadleaf Commerce - Enterprise eCommerce framework based on Spring

cel

A lightweight Description Logic reasoner for large-scale biomedical ontologies

coursera-deeplearning.ai-cnn-course-4

Coursera Deep Learning Course 4

coursera-machine-learning

Coursera Machine Learning - Python code

coursera-machine-learning-stanford

Machine learning-Stanford University

crwb-research-group

cs229_notes

All of the lecture notes from CS229: Machine Learning

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning-study

My own codes while learning deeplearning

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

demosite

The New Broadleaf Commerce Demo Site - Tomcat

design-patterns-for-humans

Design Patterns for Humans™ - An ultra-simplified explanation

dialog_games

A number of dialog games for abstract argumentation implemented using Prolog Definite Clause Grammars.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

elasticsearch

Open Source, Distributed, RESTful Search Engine

halfrost-field

✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地

image_classification

literaturedl4graph

machine-learning-by-andrew-ng-in-python

Documenting my python implementation of Andrew Ng's Machine Learning course

machine-learning-with-ontologies

math-of-machine-learning-course-by-siraj

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

mnemonicreader

A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task