sept23 Goto Github PK

2016

RecSys Challenge 2016: job recommendations

affinity-matrix-generator

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

bert

TensorFlow code and pre-trained models for BERT

clustered-affinity-matrix-generator

cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

datasets-for-recommneder-systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

deepinf

DeepInf: Social Influence Prediction with Deep Learning

discreteseekbar

ec-assignments

ec-gvgai

fab

Floating Action Button Library for Android

gitignore

A collection of useful .gitignore templates

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

grobid

A machine learning software for extracting information from scholarly documents

hackathon

Library and resources for hack/reduce Hackathon events

k-medoid

A C++ implementation of K-Medoid

kgcn

A tensorflow implementation of Knowledge Graph Convolutional Networks

kgnn-ls

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

learningnotes

Enjoy Learning.

leetcode_python

Solutions of LeetCode problems I practiced

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-cheatsheet

Machine learning glossary

models

Models and examples built with TensorFlow

mybooks

my books

nlp-in-practice

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

python-100-days

Python - 100天从新手到大师