Sarah (Sarah-air)

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Sarah's starred repositories

HI-Diff

PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"

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integrated-gradient-pytorch

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

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early-stopping-pytorch

Early stopping for PyTorch

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Diffusion

Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG)

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mindediting

Low level vision toolbox based on MindSpore

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Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

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LogME

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

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awesome-text-to-image-studies

A collection of awesome text-to-image generation studies.

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this-is-not-real-aerial-imagery

Quizz App Using Custom Diffusion Model to create deep fake of Satelite Earth image

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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LFSRDiff

LFSRDiff: Light Field Image Super-Resolution via Diffusion Models

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EEG-Image-Reconstruction

Image reconstruction from visual evoked potentials using latent diffusion

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Transformer

Transformer seq2seq model, program that can build a language translator from parallel corpus

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transformer

Transformer: PyTorch Implementation of "Attention Is All You Need"

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EEG_Image_decode

Using vision-language models to decode natural image perception from non-invasive brain recordings.

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tvb-root

Main TVB codebase

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EEG-Datasets

A list of all public EEG-datasets

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ie-HGCN

Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021

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AudioCLIP

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

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chinese_speech_pretrain

chinese speech pretrained models

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clip2brain

Code from paper "Natural language supervision with a large and diverse dataset builds better models of human high-level visual cortex"

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