Christina200
Graduate student @ UT Austin ECE | EE BSE 23' @UMich & ECE BSE 23' @ SJTU
The University of Texas at AustinAustin, TX
Pinned Repositories
AML
android-midi-lib
bgd
Implementation of Bayesian Gradient Descent
christina200.github.io
CompArch
concept-ablation
Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
dualprompt-pytorch
PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
Dynamic-Sparse-Distributed-Memory
EECS470_F19
RISC-V based 32-bit out-of-order pipeline. Register renaming scheme followed by MIPS R10K.
EraseDiff
Christina200's Repositories
Christina200/bgd
Implementation of Bayesian Gradient Descent
Christina200/christina200.github.io
Christina200/concept-ablation
Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
Christina200/dualprompt-pytorch
PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
Christina200/EraseDiff
Christina200/fp-dataset-artifacts
Final project starter code for NLP classes at UT Austin: provides a HuggingFace trainer to enable studying of dataset artifacts.
Christina200/GPM
Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"
Christina200/l2p
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
Christina200/l2p-pytorch
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
Christina200/O-LoRA
Christina200/fld
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
Christina200/Forget-Me-Not
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023
Christina200/i2i-generator-unlearning
GTAR l2l generator unlearning project
Christina200/Loss-Decoupling-for-Task-Agnostic-Continual-Learning
The official implementation of the NeurIPS'2023 work Loss Decoupling for Task-Agnostic Continual Learning
Christina200/OCM
Christina200/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).
Christina200/online_ema
Code for the CoLLAs 2023 paper "Improving Online Continual Learning Performance and Stability With Temporal Ensemble"
Christina200/OnPro
Online Prototype Learning for Online Continual Learning (ICCV 2023)
Christina200/PCR
Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
Christina200/Scissorhands
Christina200/sketchogd
Christina200/SPM
Official implementation of paper "One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications".
Christina200/stable-diffusion
A latent text-to-image diffusion model
Christina200/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Christina200/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Christina200/TopPR
NeurIPS 2023 - TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Official Code
Christina200/UCL
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
Christina200/Unlearn-Saliency
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
Christina200/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!
Christina200/vit-finetune
Fine-tuning Vision Transformers on various classification datasets