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prediction-example-with-caffe

C++ Prediction Example With Caffe

price-and-trend-forecasting-with-deep-learning

One of the most critical application areas in the Financial Market especially sits on Stock Markets. In this area, the aim is trying to predict the future value of a specific stock by looking at its previous financial data on the exchange process in the market. In this paper, we proposed a system that uses a Deep Learning based approach for training and constructing a knowledge base on a specific stock such as "IBM". We get time series values of the stock from the New York Stock Exchange which starts from 1968 up to 2018. Experimental results showed that this approach produces very good forecasting for specific stocks.

prism

a strategy trading backtester.

prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

prosparseautoencoder

Homework of Andrew ng's course ---- Deep learning

proyecto_2_arqui_2_simd

pva-faster-rcnn

Demo code for PVANet

pvanet-face

A face detection model based on PVANet

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

pytorch-forecasting

Time series forecasting with PyTorch

pytrade

my trading system depending on deep learning

q-learning-nn

Python based Deep CNN Q-Learner for FOREX

q-trader

Deep Q-learning driven stock trader bot

q_trading

quantitative trading system based on deep learning and reinforcement learning

qemu-ml

qtbitcointrader

Secure Multi Trading Client

quant-trading

Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo

quant1

test

quantbox_xapi

QuantBox统一行情交易接口，跨平台Windows/Linux，支持CTP/LTS/XSpeed/Femas

quantgenie

Quant Genie uses a Unet variant to learn and synthesize future stock chart predictions for any publicly traded stock. Usage will require user to choose the working directory and program will run on any computer with python 3.5+.

quantiative-trading

Collect quant trade strategy and deep learning trading implementation

quantlab

QuantLab

quantop

Quantop is a stock prediction model using Deep Learning Networks

quantopian

Python code for Quantopian online backtester

quanttools

:exclamation: This is a read-only mirror of the CRAN R package repository. QuantTools — Enhanced Quantitative Trading Modelling. Homepage: https://quanttools.bitbucket.io Report bugs for this package: https://bitbucket.org/quanttools/quanttools/issues

quotepub

rapid-design-methods-for-developing-hardware-accelerators

raspberrypi-buildroot

The objective of this project is to provide an SDK and root file system for the Raspberry Pi that is lightweight and takes full advantage of the hardware available. The resulting image produced is small distro known as Bsquask (linux). The Bsquask SDK provides a GCC 4.6.3 toolchain for building armv6 binaries with the hardfloat ABI, as well as bootloaders, kernel image, rootfs, and development sysroot for the Raspberry Pi.

raw_image_processing_pipeline

ISP-- from raw image to jpg

real-time-arbitrary-style-transfer-adain-tensorflow

This code mainly implement the paper ' Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization ' by TensorFlow