xingruiwang Goto Github PK

3d-aware-vqa

Official Code for the NeurIPS'23 paper "3D-Aware Visual Question Answering about Parts, Poses and Occlusions"

a-simple-of-jquery

A test simple of JQuery.

algorithm_analysis

A Document for my personal Training of Algorithm Analysis

animefy

A "selfie2anime" project based on StyleGAN & StyleGAN2. You can generate the customed animate faces base on your own real-world selfie.

c-swm

Contrastive Learning of Structured World Models

cyclegan-view-tflite

Inference of a train CycleGAN model applied to a live viewfinder. Using TFLite

dcgan-lsgan-wgan-gp-dragan-pytorch

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

deepiv

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction by TensorFlow 2

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

dsci553

Final letter grade: A

dsci_553

USC :v: 2020 Spring DSCI 553 (Foundations and Applications of Data Mining) 数据挖掘基础与应用 Score: :nine::four:

geoimage-generation

ggradar

radar charts with ggplot2

ggradar_customed

A ggradar for my own used.

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

image_caption_gan

islr-answers

Solutions to exercises from Introduction to Statistical Learning (ISLR 7th Edition)

iv2sr

An R package reimplementing of Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics.

kernel_two_sample_test

A python implementation of the kernel two-samples test as in Gretton et al 2012 (JMLR).

machine-learing-class

machine-learning-homework

matrixoperation

minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

mnormt

:exclamation: This is a read-only mirror of the CRAN R package repository. mnormt — The Multivariate Normal and t Distributions, and Their Truncated Versions. Homepage: http://azzalini.stat.unipd.it/SW/Pkg-mnormt

mpitutorial

MPI programming lessons in C and executable code examples

msarima-garch

programming-models-for-parallel-computing

Some notes and code about Programming Models for Parallel Computing

rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

ruc-deep-learning-course

RUC Deep Learning Course

ruc_traffic_prediction

交通数据是典型的多周期时间序列，我通过MSARIMA模型和DS Holt-Winters指数平滑模型对数据的周期性信息进行拟合和提取，实现车流速度的预测。