slzephyr Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

convnet

Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cv_honors

Computer Vision (CMPEN 454) Honors Option

deconvnet

Primitive implementation of Deconvnet, used to visualize CNN. Just for fun :)

deep-learning-models

Keras code and weights files for popular deep learning models.

deepimageaestheticsanalysis

analyzing photo aesthetics and explaining through photographic attributes.

deeplearning.ai-note

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

deeplearningbook-chinese

Deep Learning Book Chinese Translation

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

faster-rcnn_tf

Faster-RCNN in Tensorflow

felzenszwalb-segmentation

An easy-to-use Matlab wrapper around the original felzenszwalb segmentation code

geological-mapping-with-kmeans-pca

geological mapping with spatial-kmeans and spatial-pca

helloworld

ilastik

ilastik-shell, applets, and workflows to string them together.

image_seg

kaggle_dstl_submission

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

kaggle_projects

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lazyflow

lazy parallel ondemand zero copy numpy array data flows with caching and dirty propagation

learn-python

小白的Python入门教程：部分章节源码

mathematicaforprediction

Mathematica implementations of machine learning algorithms used for prediction and personalization.

models

Models and examples built with TensorFlow

numba

NumPy aware dynamic Python compiler using LLVM

planet-amazon-deforestation

The open source repository for the Kaggle Amazon forest devastation competition https://www.kaggle.com/c/planet-understanding-the-amazon-from-space

sceneparsing

Development kit for MIT Scene Parsing Benchmark

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial