songweige

rich-text-to-image

Rich-Text-to-Image Generation

TATS

Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)

sd-webui-rich-text

Contrastive-Learning-with-Non-Semantic-Negatives

Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)

content-debiased-fvd

[CVPR 2024] On the Content Bias in Fréchet Video Distance

scDGN

Supervised Adversarial Alignment of Single-Cell RNA-seq Data

Dmoz-Dataset

content.rdf.u8.gz

double-descent-pytorch

Reproduce double descent curve with PyTorch on MNIST

DeepVote

Rectify the Static Assumption of Multi-View Stereo 3D Mapping with DeepVote Model

DoodlerGAN

AI models that can doodle/sketch

shift-invariance-adv-robustness

taming-transformers

CNTK

Convolutional Neural Tangent Kernel

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

ImageNet-Sketch

ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

JigenDG

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

LAMA

LAnguage Model Analysis

magenta

Magenta: Music and Art Generation with Machine Intelligence

neural-tangent-kernel-UCI

Testing Nerual Tangent Kernel (NTK) on small UCI datasets

obsidian-day-planner

An Obsidian plugin for day planning and managing pomodoro timers from a task list in a Markdown note.

Oscar

Oscar and VinVL

pgm-spring-2019

Course webpage for PGM, Spring 2019.

robustness

Corruption and Perturbation Robustness (ICLR 2019)

rpc_triangulation_solver

fast triangulation solver for the RPC model

s2p

Satellite Stereo Pipeline

slahmr

stable-diffusion-webui-extensions

Extension index for stable-diffusion-webui

stylegan2-pytorch

Simplest working implementation of Stylegan2 in Pytorch

taming-transformers-1

Taming Transformers for High-Resolution Image Synthesis

tgan2

The official implementation of "Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN"