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abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

agegenderdeeplearning

anakin

awesome-deeplearning-tutorials

Links to useful online tutorials etc. about deep learning

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

backtrader

book

:green_book:我的个人书籍学习和收藏

btcrobot

Golang bitcoin trading bot, it features multiple trading methods using technical analysis

bxbot

A simple Bitcoin trading bot written in Java

caffe

Caffe: a fast open framework for deep learning.

caffe-augmentation

:zap: Caffe real-time data augmentation on-the-fly!!

caffe-augmentation-1

Caffe with realtime augmentation extension

caffe-data-augmentation

a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.

caffe-googlenet-bn

re-implementation of googlenet batch normalization

caffe-int8-convert-tools

This convert tools is base on TensorRT 2.0 Int8 calibration tools,which use the KL algorithm to find the suitable threshold to quantize the activions from Float32 to Int8(-128 - 127).

cdnet

The tutorials, datasets and source codes of the crosswalk detection (zebra crossing detection) network, which is robust in real scenes and real-time in Jetson nano. cross. detect. pedestrian.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

ds

cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

face-alignment-in-3000fps

a c++ implementation of face alignment in 3000fps

face_detection_in_realtime

This repository is the implementation of face detection in real time using YOLOv3 framework with keras(tensorflow backend). For use in embeded devices, so I choose a computation-efficient CNN architecture named ShuffleNet version 2 and train it from scratch(about 50 epoches) on FDDB.

face_verification_experiment

Original Caffe Version for LightCNN-9. Highly recommend to use Pytorch Version (https://github.com/AlfredXiangWu/LightCNN)

facedetection-dsfd

feathercnn

FeatherCNN is a high performance inference engine for convolutional neural networks.

futureholderrank

中金所、上期所、郑商所及大商所，四大期货交易所大户持仓排名爬虫

hanchaow.github.io

jaad_pedestrian

Annotation data for JAAD (Joint Attention in Autonomous Driving) dataset

keras-shufflenetv2

Keras implementation of ShuffleNet V2