Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

FCOS: Fully Convolutional One-Stage Object Detection

Implementation of NIMA: Neural Image Assessment in Keras

Convolutional Neural Networks

Hands-on Deep Reinforcement Learning, published by Packt

A paper list of object detection using deep learning.

TensorFlow code and pre-trained models for BERT

A very simple framework for state-of-the-art Natural Language Processing (NLP)

一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

bert nlp papers, applications and github resources ， BERT 相关论文和 github 项目

CTR prediction models based on deep learning(基于深度学习的广告CTR预估模型)

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Neologism dictionary based on the language resources on the Web for mecab-ipadic

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

Sequence to Sequence Learning with Keras

Attention mechanism Implementation for Keras.

TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet

Using DQN/DDPG for stock trading

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

深度学习相关的模型训练、评估和预测相关代码

bert for chinese text classification

Image Aesthetics/Quality assessment using Convolutional Networks in Keras

100+ Chinese Word Vectors 上百种预训练中文词向量

PyTorch implementation of DQN, AC, A2C, A3C, , Policy Gradient, DDPG, TRPO, PPO, ACER and ....