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aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

adaptivesfm

Adaptive State-Frequency Memory Recurrent Neural Network

ai-for-time-series-papers-tutorials-surveys

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

ai_challenger_2018

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

aspc-da

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cbam-keras

CBAM implementation on Keras

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

conditional-normalizing-flow-for-wind-power-forecasting

Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433

conv_lstm

curran_sc2scout

dann

Domain Adversarial Neural Networks (DANN) in Keras

dann-keras

A simple implementation of domain adversarial training with GAN loss in Keras

darqn

Deep Attention Recurrent Q-Network

darren.github.io

dba

DBA: Averaging for Dynamic Time Warping

deep-learning-tensorflow

Implementation of a Multimodal Deep Boltzmann Machine with Tensorflow.

deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

deephar

Code repository for experiments on deep architecture for HAR in ubicomp

deepnet

I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cudamat and Numpy python libs.

dqn_trader

drbm_project

Learning joint representation with a Multimodal Deep Boltzmann Machine

factoid-qa

Factoid Question Answering System based on Chinese Wikipedia

financial

first commit

fsfc

Feature Selection for Clustering

ganf

Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

idec

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.