JustMuteAll

JustMuteAll's Stars

• zijin-gu/NeuroGen

  Code for paper NeuroGen: activation optimized image synthesis for discovery neuroscience.

  Language:Python106

• ViCCo-Group/dimension_encoding

  Analysis code implementing the fMRI encoding model of 66 SPoSE dimensions, and all other analyses in the paper.

  Language:Python2

• liyipeng-moon/NPX_Prep

  Preprocess Neuropixels Data and MonkeyLogic Data

  Language:Jupyter Notebook1

• matlab-deep-learning/Explore-Deep-Network-Explainability-Using-an-App

  This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.

  Language:MATLAB357

• JustMuteAll/NeuralEncoding

  Python codes for neural response encoding analysis

  Language:Python41

• neuralcodinglab/brain2gan

  Language:Jupyter Notebook81

• ozcelikfu/brain-diffuser

  Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by Furkan Ozcelik and Rufin VanRullen.

  Language:Python11119

• dongyangli-del/EEG_Image_decode

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

  Language:Jupyter Notebook9220

• SHI-Labs/Versatile-Diffusion

  Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023

  Language:Python1.3k82

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python39k5k

• KamitaniLab/DeepImageReconstruction

  Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

  Language:Python27561

• dicarlolab/CORnet

  [NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

  Language:Python24864

• liyipeng-moon/PassiveViewing_in_ML

  apply passive viewing paradigm in monkey logic

  Language:C5

• FutureXiang/soda

  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"

  Language:Jupyter Notebook764

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.6k3.3k

• ariaaay/clip2brain

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

  Language:Python166

• johnmarktaylor91/torchlens

  Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.

  Language:Python47417

• huzeyann/htROI-neural-encoding

  Language:Jupyter Notebook71

• MedARC-AI/fMRI-reconstruction-NSD

  fMRI-to-image reconstruction on the NSD dataset.

  Language:Jupyter Notebook29942

• jenellefeather/model_metamers_pytorch

  Code for paper "Model metamers reveal divergent invariances between biological and artificial neural networks." Feather et al. 2023

  Language:Python133

• ViCCo-Group/thingsvision

  Python package for extracting representations from state-of-the-art computer vision models

  Language:Python15419

• KamitaniLab/icnn

  iCNN: image reconstruction from CNN features

  Language:Python3413

• david-klindt/NIPS2017

  CNN Neural System Identification Model

  Language:Jupyter Notebook297

• JustMuteAll/UsefulScripts

  一些有用的程序脚本

  Language:Python1

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k9.5k

• KamitaniLab/brain-decoding-cookbook-public

  Language:Jupyter Notebook235

• trevismd/statannotations

  add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

  Language:Python66874

• open-ephys/plugin-GUI

  Software for processing, recording, and visualizing multichannel electrophysiology data

  Language:C++193684

• basujindal/stable-diffusion

  Optimized Stable Diffusion modified to run on lower GPU VRAM

  Language:Jupyter Notebook3.1k469

• EmbraceAGI/awesome-chatgpt-zh

  ChatGPT 中文指南🔥，ChatGPT 中文调教指南，指令指南，应用开发指南，精选资源清单，更好的使用 chatGPT 让你的生产力 up up up! 🚀

  Language:Python10.7k889