Skip to content

Instantly share code, notes, and snippets.

View ZHAOZHIHAO's full-sized avatar

zhihao zhao ZHAOZHIHAO

11 followers · 6 following
  • university of Oklahoma
  • Tulsa, Oklahoma
View GitHub Profile
@meisa233
meisa233 / MGLD-VSR_configuration.md
Last active September 24, 2024 03:08
  1. Download Models
(1) pretrained diffusion denoising U-net and video variational autoencoder
https://connectpolyu-my.sharepoint.com/:f:/g/personal/19046191r_connect_polyu_hk/EvI_j1SUiVFBlwEy4i62ckgB1XEHeqfFcJS4Ho6JQrTAWA?e=rDT4M4
or
https://pan.baidu.com/s/1xQF996RsxnmN-60ZLB6Vig?pwd=gh4i

downloaded files:
mgldvsr_unet.ckpt
video_vae_cfw.ckpt
@sparcflow
sparcflow / gist:6429f48d2fc1b65bc79cc4ab71a0fa6b
Last active May 31, 2021 08:31
Installing python 3.7 on Ubuntu 16.04 or 18.04
=== From deadsnakes repo ===
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.7
sudo apt install python3-pip
sudo apt install python3.7-dev
=== OR compiling from source ===
sudo apt update
@sberryman
sberryman / Dockerfile.yml
Last active July 8, 2019 14:25
OpenPose 1.2.1 Dockerfile example using OpenCV/Contrib 3.2.0, CUDA 8, CuDNN 5
# start with the nvidia container for cuda 8 with cudnn 5
# ensure `/etc/docker/daemon.json` file is
# modified to use nvidia runtime by default
FROM nvidia/cuda:8.0-cudnn5-devel
# install dependencies
RUN apt-get update && \
apt-get install -y \
build-essential \
cmake \
@shagunsodhani
shagunsodhani / LIME.md
Created January 28, 2017 12:32
Summary of "Why Should I Trust You? Explaining the Predictions of Any Classifier" paper

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Introduction

  • The paper introduces a novel technique to explain the predictions of any classifier in an interpretable and faithful manner.
  • It also proposes a method to explain models by obtaining representative individual predictions and their explanations.
  • Link to the paper
  • Demo

Desired Characteristics for Explanations