eeyhsong

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

llama

Inference code for LLaMA models

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

GLM

GLM (General Language Model)

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

pyRiemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

pycortex

Pycortex is a python-based toolkit for surface visualization of fMRI data

MindVideo

Official code base for MinD-Video

CORnet

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

KDGA

Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"

Pytorch-CapsuleNet

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

semantic-decoding

eeg-gnn-ssl

BraVL

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

TLBCI

Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."

eeg_encoding

Use DNNs to build encoding models of EEG visual responses.

mind-reader

[NeurIPS2022] Mind Reader: Reconstructing complex images from brain activities

MAtt

TSMNet

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

EA

This repository is the official implementation of “Transfer learning for brain-computer interfaces: A Euclidean space data alignment approach."

MindVideo

object_drawing_dynamics

This repository containes code for the paper "The spatiotemporal neural dynamics of object recognition for natural images and line drawings". With the material contained in this repository all of the results in the paper can be reproduced. Link to preprint: https://biorxiv.org/cgi/content/short/2022.08.12.503484v1