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deep_ctr

deep_recommend_system

Generic program for deep learning with TensorFlow

deep_rl_trader

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearning_forecast

Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deeplearningnotes

机器学习和量化分析学习进行中

deeplearntoolbox

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.

deeplob

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

deeplob-trading_app

deeplob_pytorch

deeplob_trader

deepmatch-torch

「PyTorch」A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

deeprltrading

Trading Stock with Deep Reinforcement Learning

deepsuperlearner

DeepSuperLearner - Python implementation of the deep ensemble algorithm

deepvac

PyTorch Project Specification.

demo_strategy

Demonstrative examples for developing quantitative strategies

densely-connected-cnn-with-multiscale-feature-attention

Densely Connected CNN with Multi-scale Feature Attention for Text Classification

densenet-tensorflow

DenseNet Implementation in Tensorflow

densenet-tensorflow-1

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

densetnet

densetnet-1

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgm2

di-engine

OpenDILab Decision AI Engine

dialog_corpus

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

dimensionality_reduction_alo_codes

PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

distributed_train_pytorch

pytorch分布式训练，支持多机多卡，单机多卡。

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。