ZHENG2049

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。

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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

MOSS

An open-source tool-augmented conversational language model from Fudan University

LiTiaotiao-Custom-Rules

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

zotero-style

Ethereal Style for Zotero

MachineLearningNotes

My personal notes

awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Visualizer

assistant tools for attention visualization in deep learning

TinyNeuralNetwork

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

RES-Interview-Notes

该仓库主要记录 推荐系统 算法工程师相关的面试题

SNN-Daily-Arxiv

Update arXiv papers about Spiking Neural Networks daily.

torchsig

TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.

EMS-YOLO

Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)

Spike-Element-Wise-ResNet

Deep Residual Learning in Spiking Neural Networks

awesome-snn

🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.

GoogleScholarGUI

谷歌学术爬取GUI版本

temporal_efficient_training

Code for temporal efficient training

openmax-cifar10

A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)

syops-counter

SyOPs counter for spiking neural networks

TCJA

[TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"

SLTT

[ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks

NDA_SNN

Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.

Spiking_ResNet

Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks

dcase2022_task2_challenge_recipe

dbscan1d

An efficient 1D implementation of the DBSCAN clustering algorithm

dcase2022_task2_baseline_mobile_net_v2

SNN_Attention_VGG