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knowledge_graphs

creating the knowledge graph with neo4j graph database using py2neo package in python

knowledgebase

Data Manipulation and neo4j imports for Analysis

knowledgegraphcourse

东南大学《知识图谱》研究生课程

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learning

Becoming 1% better at Data Science everyday

learnpython

以撸代码的形式学习Python

libxsmm

Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives.

lolcate-rs

Lolcate -- A comically fast way of indexing and querying your filesystem. Replaces locate / mlocate / updatedb. Written in Rust.

machine_learning_tutorials

Code, exercises and tutorials of my personal blog ! 📝

machinelp-codefun

MachineLP CodeFun

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mckinsey-smartcities-traffic-prediction

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

ml-models

Machine Learning Procedures and Functions for Neo4j

mlapp

Example of using machine learning with github apps

modeling-examples

Gurobi modeling examples

modelling-and-analysis-of-a-vehicle-routing-problem-with-time-windows-in-freight-delivery

A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)

models

Models and examples built with TensorFlow

msrn-pytorch

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

mybook

neural_collaborative_filtering

Neural Collaborative Filtering

neuraldialog-larl

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

ngraph-bridge

TensorFlow-nGraph bridge

nlp-graph-notebooks

IPython companion notebooks for blog posts about Natural Language Processing on lyonwj.com

nlp-knowledge-graph

自然语言处理、知识图谱、对话系统三大技术研究与应用。

nndl-codes

Sample Codes for NNDL

notes-python

中文 Python 笔记

numpy-100

100 numpy exercises (with solutions)

oaprogression

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

openlearning4deeprecsys

Some deep learning based recsys for open learning.