nunuke Goto Github PK

automatic-trading-system

Design for Chinese stock market and the software of Tongdaxin

burlap_caffe

caffe

Caffe: a fast open framework for deep learning.

caffe-windows

Configure Caffe in one hour for Windows users.

csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

deep-algotrading

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

deep-residual-networks

Deep Residual Learning for Image Recognition

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.

emacs.d

An Emacs configuration bundle with batteries included

fisa-vim-config

my vim configuration (lot of python, autocompletition, fuzzy finder, debugger, ...)

glog

C++ implementation of the Google logging module

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

goturn-tensorflow

A tensorflow implementation for GOTURN tracker

gpscalibration

A meter level precision GPS calibrator for out-door robots by fusion sensors of GPS satellite, point cloud, IMU and others. SLAM, various stochastic process models, point set registration, and Kalman filter are used.

gpu_mon

Python script which monitors gpu access

ibpy

Python API for the Interactive Brokers on-line trading system.

imaging-time-series-to-improve-classification-and-imputation

Init creation

img

kitti-ssd

Train your own data using SSD in a more clear and simple way(not include source code)

lz4

Extremely Fast Compression algorithm

matlabfunc

Matlab codes for feature learning

megaman

megaman: Manifold Learning for Millions of Points

mtsne

Multivariate time-series t-Distributed Stochastic Neighbor Embedding

ner

基于tensorflow深度学习的中文的命名实体识别

netscope

Neural network visualizer

numpycnn

Convolutional neural network implementation using NumPy

ratslam

Automatically exported from code.google.com/p/ratslam

ratslam-1

Modifications to the OpenRatSLAM project at http://code.google.com/p/ratslam/

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

resnet-1k-layers

Deep Residual Networks with 1K Layers