Xiwen Wei's repositories
stable-diffusion
A latent text-to-image diffusion model
timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
PCR
Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
i2i-generator-unlearning
GTAR l2l generator unlearning project
VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
fld
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
l2p-pytorch
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
dualprompt-pytorch
PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
online-continual-learning
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
online_ema
Code for the CoLLAs 2023 paper "Improving Online Continual Learning Performance and Stability With Temporal Ensemble"
concept-ablation
Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
SPM
Official implementation of paper "One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications".
vit-finetune
Fine-tuning Vision Transformers on various classification datasets
OnPro
Online Prototype Learning for Online Continual Learning (ICCV 2023)
GPM
Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"
fp-dataset-artifacts
Final project starter code for NLP classes at UT Austin: provides a HuggingFace trainer to enable studying of dataset artifacts.
Loss-Decoupling-for-Task-Agnostic-Continual-Learning
The official implementation of the NeurIPS'2023 work Loss Decoupling for Task-Agnostic Continual Learning
TopPR
NeurIPS 2023 - TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Official Code
bgd
Implementation of Bayesian Gradient Descent
Forget-Me-Not
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023
UCL
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
l2p
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
GMED
Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020