nunuke Goto Github PK
Type: User
Type: User
Design for Chinese stock market and the software of Tongdaxin
Caffe: a fast open framework for deep learning.
Configure Caffe in one hour for Windows users.
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
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 Learning for Image Recognition
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.
An Emacs configuration bundle with batteries included
my vim configuration (lot of python, autocompletition, fuzzy finder, debugger, ...)
C++ implementation of the Google logging module
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
A tensorflow implementation for GOTURN tracker
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.
Python script which monitors gpu access
Python API for the Interactive Brokers on-line trading system.
Init creation
Train your own data using SSD in a more clear and simple way(not include source code)
Extremely Fast Compression algorithm
Matlab codes for feature learning
megaman: Manifold Learning for Millions of Points
Multivariate time-series t-Distributed Stochastic Neighbor Embedding
基于tensorflow深度学习的中文的命名实体识别
Neural network visualizer
Convolutional neural network implementation using NumPy
Automatically exported from code.google.com/p/ratslam
Modifications to the OpenRatSLAM project at http://code.google.com/p/ratslam/
Python implementation of Reinforcement Learning: An Introduction
Deep Residual Networks with 1K Layers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.