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alta

The Art of Literary Text Analysis

ankitrai.github.io

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-r

A curated list of awesome R frameworks, packages and software.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bbox-annotator

A bounding box annotation widget written in CoffeeScript.

caffe

Caffe: a fast open framework for deep learning.

cnn-benchmarks

Benchmarks for popular CNN models

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

continuous-integration-travis

cookiecutter-pypackage

Cookiecutter template for a Python package.

corpora

A collection of small corpuses of interesting data for the creation of bots and similar stuff.

cortex

Deploy machine learning models in production

cumf_als

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

dask-tutorial

Dask tutorial

data-science-blogs

A curated list of data science blogs

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplens-workshops

deepml

Higher Level Deep Learning Framework for Computer Vision