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adv-r

Advanced R programming: a book

ava

Python code to detect objects from a video input

awesome

:computer: An awesome & curated list of best applications and tools for Windows.

awesome-code

Links to a curated list of awesome implementations of models.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

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

awesome-r

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

awesome-rnn

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

awesome-tensorflow

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

caffe

Caffe: a fast open framework for deep learning.

caption_generator

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs231n.github.io

Public facing notes page

data-science-blogs

A curated list of data science blogs

datascience

workshop for data science

deep-learning-for-ocr

This is a reading list for deep learning for OCR

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-residual-networks

Deep Residual Learning for Image Recognition

deephccr

Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

faster-rcnn_tf

Faster-RCNN in Tensorflow

gittest

a git test respository

gperftools

Main gperftools repository

handong1587.github.io

handwritten-sequence-tensorflow

Tensorflow implementation of handwritten sequence of small letters recognition.

hello-world

Just a new repository

jupyter-notebooks

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.

keras

Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

kryptoflow

Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving