Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful l…

turbofan degradation data from https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan

PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., &…

Spatio-temporal BP for SNNs

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

CVPR 2024 论文和开源项目合集

💻深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

Stanford University CS231n 2016 winter assignments

This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.

AI学习过程中的实操代码

YOLOv1-from-scratch

使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers，以及以transforemrs作为词嵌入模型，后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比

词典分词以及HMM分词与词性标注

基于Hmm模型和Viterbi算法实现中文分词及词性标注，使用最大概率算法进行优化。人民日报语料：分词(F1:96.189%)；词性标注(F1:97.934%)

阴阳师自动挂机脚本（挂机御魂，觉醒，探索狗粮，斗技，百鬼夜行）

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.