tudingneau Goto Github PK

aard

Codes for the paper: Adversary-Aware Rumor Detection

agah

Source code for paper "Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval".

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

cada

Code of ACM-MM 2023 <Improving Rumor Detection by Class-based Adversarial Domain Adaptation>

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

cnn-prob-ensemble

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cross-modal_retrieval_tutorial

The Paper List of Image-Text Matching for Preliminary Insight.

crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

datamining_sklearn_mochine_leanring

利用sklearn实现机器学习算法：线性回归、逻辑回归、决策树、随机森林、SVM等

dexined

DexiNed: Dense EXtreme Inception Network for Edge Detection

duck-code

Code for DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks NAACL2022(https://aclanthology.org/2022.naacl-main.364/)

endef-sigir2022

Official repository for "Generalizing to the Future: Mitigating Entity Bias in Fake News Detection", SIGIR 2022.

fasttext

Library for fast text representation and classification.

fcbf_module

Fast Correlation-Based Feature Selection

gnn-algorithms

图神经网络相关算法详述及实现

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

icml2022-fedformer

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

intrusion-detection-system-using-machine-learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

mamba_state_space_model_paper_list

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

medmamba

This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"

models

Models and examples built with TensorFlow

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nmt

TensorFlow Neural Machine Translation Tutorial

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)