rookiedata1's repositories
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
DESeq2
Differential gene expression analysis based on the negative binomial distribution
robROSE
Robust oversampling of minority cases
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats
Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
keras-tcn
Keras Temporal Convolutional Network.
scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) 遗传、粒子群、模拟退火、蚁群算法等
gi-bleed
Repository for the paper: Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
OnlineJudge
open source online judge based on Vue, Django and Docker. | 青岛大学开源 Online Judge | QQ群 496710125 | admin@qduoj.com
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
awesome-image-classification
A curated list of deep learning image classification papers and codes
TensorFlow-OS-ELM
A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
gcn_clustering
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
deep-image-prior
Image restoration with neural networks but without learning.
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Pose2Seg
Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
tf_unet
Generic U-Net Tensorflow implementation for image segmentation
basic_unet_example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
senet-keras
Naive implementation of SENet in Keras