FlyA2's repositories
the-gan-zoo
A list of all named GANs!
-docker-python
Kaggle Python docker image
project_02
这是一个测试的仓库
project_01
这是一个test 仓库
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
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.
-Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
Code for intrusion detection system (IDS) development using CNN models and transfer learning
--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..)
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
sru_RNN-CNN-
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
222-Efficient-CNN-BiLSTM-for-Network-IDS
222-Efficient-CNN-BiLSTM-for-Network-IDS
E-ResGAT--
The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
handwriting-synthesis
Handwriting Synthesis with RNNs ✏️
pytorch-seq2seq-
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
Front-end-notes
前端学习笔记
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