tingtinglu's repositories

awesome-python-cn

Python资源大全中文版,内容包括:Web框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等

nndl

Another Chinese Translation of Neural Networks and Deep Learning

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ai_notes

machine learning/artificial intelligence notes

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awesome

:sunglasses: Curated list of awesome lists

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awesome-computer-vision

A curated list of awesome computer vision resources

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awesome-courses

:books: List of awesome university courses for learning Computer Science!

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awesome-deep-vision

A curated list of deep learning resources for computer vision

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Bow_SPP_LBP_SVM

Image Classification using Bag of Words and Spatial Pyramid BoW, which also contains LBP and libsvm

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caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

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deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe

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dockerfiles-1

bunch of dockerfiles for automated build

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highlight.js

Javascript syntax highlighter

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kaggle_art

kaggle artist identification challenge

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leetcode-1

LeetCode题解,151道题完整版

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MachineLearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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numpy

Numpy main repository

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OpenCV2-Python-Tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

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PG_BOW_DEMO

Image Classification using Bag of Words and Spatial Pyramid BoW

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povray

The Persistence of Vision Raytracer: http://www.povray.org/

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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pycaffe_tutorial

Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe

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python_reference

Useful functions, tutorials, and other Python-related things

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scipy

Scipy library main repository

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test_creat

test repo

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Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

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