wuliwei9278

SSE-PT

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

SSE

Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

SQL-Rank

A Novel Listwise Collaborative Ranking Algorithm published at ICML'18

HGN_baseline

baseline method HGN, just like SASRec, change its evaluation to be the same as SASRec

ml-1m

New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++

primalCR

C++ implementation of primalCR and primalCR++ proposed in KDD'17 paper

Graph-DNA

Codes for AISTATS 20 paper "Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering"

collrank

baseline method to compare with

leetcode_python

place to add the python codes I wrote before for leetcode when I have time

os

os kernel for raspberry pie

PL

simple interpreter written in Ocaml

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

circle

A C++ bare metal environment for Raspberry Pi with USB

cleanlab

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

homepage

this is codes and files for my personal homepage at http://anson.ucdavis.edu/~liweiwu/index.html

leetcode_cpp

c++ codes (get bored with python)

liballoc

liballoc - a memory allocator for hobbyist operating systems

ml1m_feature

newLoss

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

senet.pytorch

PyTorch implementation of SENet

Sparse-Matrix

C++ sparse matrix implementation using CSR format

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

system-design-interview

System design interview for IT companies

tensorflow

An Open Source Machine Learning Framework for Everyone

time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside