yixinz-nus,github

this is algorithm learning repo of my own

algorithm-exercise

Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/

aspnetcore-developer-roadmap

Roadmap to becoming an ASP.NET Core developer in 2023

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

automatically_update_github_pages_with_travis_example

An example of automatically updating GitHub Pages when you're using Travis CI.

awesome-code-ai

A list of AI coding tools (assistants, completions, refactoring, etc.)

awesome-implicit-representations

A curated list of resources on implicit neural representations.

awesome-isaac-gym

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

BANG is a new pretraining model to Bridge the gap between Autoregressive (AR) and Non-autoregressive (NAR) Generation. AR and NAR generation can be uniformly regarded as to what extent previous tokens can be attended, and BANG bridges AR and NAR generation by designing a novel model structure for large-scale pretraining. The pretrained BANG model c

basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.