xylary,github

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

alphalens

Performance analysis of predictive (alpha) stock factors

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

caffe

Caffe: a fast open framework for deep learning.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

cctv_news

This project aims to analyze CCTV XINWENLIANBO's news and use the NLP results to predict the sector performance ranking on the next trading day

chainer-dcgan

Chainer implementation of Deep Convolutional Generative Adversarial Network

chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

cnn-timeseries

Use CNN to classify time series data for activity recognition

code-samples

Source code examples from the Parallel Forall Blog

convnet

Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

cortexsys

Matlab GPU Accelerated Deep Learning Toolbox

deep-forest

An on going implementation of the gcForest algorithm

deep-learning-keras-tensorflow

# Deep Learning with Keras and Tensorflow

deepesn

Deep Echo State Network (DeepESN) Python library

deepesn_octave

Octave Compatible version of the DeepESN Matlab toolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepstack

Implementation of DeepStack

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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