musicjae

Algorithms

algorithmtoolbox_sandiego_univ

Awesome-Causal-Inference

A curated list of awesome work on causal inference, particularly in machine learning.

cs231n

NLP

Pytorch

Studying Pytorch and Pytorch-lightning

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I'll add an inductive example (PPI) soon as well.

references

Seminar

musicjae/Reinforcement_Learning

musicjae/CleanCodeInPython

파이썬 클린코드 내용 정리

musicjae/Datasets-for-Recommender-Systems

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

musicjae/cs224n

Summaries and codes for myself

musicjae/algorithmtoolbox_sandiego_univ

musicjae/graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

musicjae/Hands_on_ML

musicjae/Prob

musicjae/JasoAI

자소AI - KoGPT2를 이용한 자기소개서 도우미 프로젝트

musicjae/Dive-into-the-deeplearning

musicjae/Recommendation-systems

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems

musicjae/GNN-StellarGraph

musicjae/Multi-View-RNN-GCNs

The code and datasets of 《Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction》

musicjae/DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

musicjae/GRU4REC-pytorch

An other implementation of GRU4REC using PyTorch

musicjae/simplifying-js

Source code for Simplifying JavaScript

musicjae/lstm-gru-pytorch

LSTM and GRU in PyTorch

musicjae/Kiise-Latex-template