FlyA2

--2-Intrusion-Detection-System-Using-Machine-Learning

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

-docker-python

Kaggle Python docker image

-Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

Code for intrusion detection system (IDS) development using CNN models and transfer learning

222-Efficient-CNN-BiLSTM-for-Network-IDS

222-Efficient-CNN-BiLSTM-for-Network-IDS

awesome-DeepLearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bert

TensorFlow code and pre-trained models for BERT

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

E-ResGAT--

The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.

FlyA2.github.io

FlyA2/--2-Intrusion-Detection-System-Using-Machine-Learning

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

FlyA2/-docker-python

Kaggle Python docker image

FlyA2/-Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

Code for intrusion detection system (IDS) development using CNN models and transfer learning

FlyA2/222-Efficient-CNN-BiLSTM-for-Network-IDS

222-Efficient-CNN-BiLSTM-for-Network-IDS

FlyA2/awesome-DeepLearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

FlyA2/awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

FlyA2/bert

TensorFlow code and pre-trained models for BERT

FlyA2/CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

FlyA2/E-ResGAT--

The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.

FlyA2/FlyA2.github.io

FlyA2/Front-end-notes

前端学习笔记

FlyA2/GNN-NIDS

FlyA2/handwriting-synthesis

Handwriting Synthesis with RNNs ✏️

FlyA2/keras

Deep Learning for humans

FlyA2/LSTM-Human-Activity-Recognition-

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

FlyA2/project_01

这是一个test 仓库

FlyA2/project_02

这是一个测试的仓库

FlyA2/pygod--

A Python Library for Graph Outlier Detection (Anomaly Detection)

FlyA2/pytorch-kaldi-

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

FlyA2/pytorch-seq2seq-

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

FlyA2/RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

FlyA2/sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

FlyA2/sru_RNN-CNN-

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

FlyA2/stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

FlyA2/the-gan-zoo

A list of all named GANs!

FlyA2/uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

FlyA2/Web

千古前端图文教程，超详细的前端入门到进阶知识库。从零开始学前端，做一名精致优雅的前端工程师。

FlyA2/web_bigevent

FlyA2/WWeb_bigevent

FlyA2/xin_