zdqf Goto Github PK

graph_nets

Build Graph Nets in Tensorflow

graphwaveletneuralnetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

hacker-laws

💻📖 Laws, Theories, Principles and Patterns that developers will find useful.

hapi

hapi is a High-level API that supports both static and dynamic execution modes

harvard-bar

Materials on graph based recommendations using Neo4j, Python, and NLP using meetup.com data from Boston

heroic

The Heroic Time Series Database

hgnn

Hypergraph Neural Networks (AAAI 2019)

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hub

A library for transfer learning by reusing parts of TensorFlow models.

hyperfoods

It was built a web application as a step forward in building a 3D recommendation system.

image_processing_100_questions

This is the English version of the Image processing 100 questions.

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

intel-graphics-compiler

io19

kaldi-onnx

Kaldi model converter to ONNX

kashgari

Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.

kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

kerascollaborativefiltering

My Keras implementation of Matrix Factorization (MF) and Bayesian Personalized Ranking (BPR)

knowledge-aware-reader

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

knowledge-graph

知识图谱-概念与技术

knowledge-graph-learning

A curated list of awesome knowledge graph tutorials, projects and communities.

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.

machinelp-codefun

MachineLP CodeFun