• Stars
    star
    3
  • Rank 3,954,741 (Top 79 %)
  • Language
    Python
  • Created about 6 years ago
  • Updated about 6 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Naive Bayes spamfilter implementation in python 3.6 and its command line interface for Linux system

More Repositories

1

Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-

Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data
Python
117
star
2

Hyperformer

This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."
Python
74
star
3

Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting

Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras
Python
50
star
4

BlockGCN

This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition"
Python
44
star
5

SP-ViT-Learning-2D-Spatial-Priors-for-Vision-Transformers

This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"
Python
12
star
6

MultiMax

This is the official implementation of our ICML 2024 paper "MultiMax: Sparse and Multi-Modal Attention Learning""
Python
11
star
7

Matlab-Implementation-of-Nesterov-s-Accelerated-Gradient-Method-

Implementation and comparison of Nesterov's and other first order gradient method
MATLAB
8
star
8

Solving-MountainCar-v0-using-deep-Q-learning

Keras implementation for MountainCar-v0 problem with workable hyperparameters
Python
2
star
9

Kaggle-Titanic-Multilayer-Perceptron-Solution

A Simple Multilayer Perceptron Model Reaching Top 20%
Python
2
star
10

Hyperformer-for-Skeleton-based-Action-Recognition

This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition""
1
star