scutzck033

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)

conv_lstm

DQN_TRADER

scutzck033/conv_lstm

scutzck033/DQN_TRADER

scutzck033/AI_Challenger_2018

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

scutzck033/CCSA

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

scutzck033/char-rnn

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

scutzck033/DANN-keras

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

scutzck033/DARQN

Deep Attention Recurrent Q-Network

scutzck033/darren.github.io

scutzck033/Deep-Learning-TensorFlow

Implementation of a Multimodal Deep Boltzmann Machine with Tensorflow.

scutzck033/deepHAR

Code repository for experiments on deep architecture for HAR in ubicomp

scutzck033/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.

scutzck033/DRBM_Project

Learning joint representation with a Multimodal Deep Boltzmann Machine

scutzck033/Factoid-QA

Factoid Question Answering System based on Chinese Wikipedia

scutzck033/financial

first commit

scutzck033/fsfc

Feature Selection for Clustering

scutzck033/IDEC

scutzck033/imbalanced-learn

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

scutzck033/keras-attention-mechanism

Attention mechanism Implementation for Keras.

scutzck033/keras_extensions

A collection of small extensions to Keras (RBM, momentum schedule, ..)

scutzck033/MNIST-center-loss

Center loss implementation in Keras

scutzck033/mnistCRNN

Testing TimeDistributedConvolution layers with GRU layers

scutzck033/MultimodalAutoencoder

Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"

scutzck033/pca-magic

PCA that iteratively replaces missing data

scutzck033/PVDM

:books: Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.

scutzck033/QuestionAnsweringSystem

QuestionAnsweringSystem是一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。

scutzck033/rqalpha

RQalpha: A Python Algorithmic Trading Engine with BackTest, Portfolio Calculation and Free Day Bar Data

scutzck033/tensorflow-Deep-learning

Tensorflow Examples

scutzck033/textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

scutzck033/torch-rnn

Efficient, reusable RNNs and LSTMs for torch

scutzck033/uspgs_tbme_2017

Latex files for the TBME paper on image based methods for phase estimation, gating, and temporal super-resolution of cardiac ultrasound