salman-ghauri Goto Github PK

2017-persontyle

Applied Deep Learning Workshop London 2017

alluxio

Alluxio, data orchestration for analytics and machine learning in the cloud

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-machine-learning

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

aws-security-services-with-terraform

Code examples for the AWS Security Blog post: How to use CI/CD to deploy and configure AWS security services with Terraform

aws_codebuild_codedeploy_nodejs_demo

This repository contains sample codes to work with AWS

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

book

first commit

c3d-keras

train C3D with keras for action recognition

config

configuration library for JVM languages using HOCON files

cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

data-science-ipython-notebooks

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

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

data_generator_object_detection_2d

A data generator for 2D object detection

datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

deep-learning-workshop

Deep learning workshop materials

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

docker-django-geoserver

docker-flask-uwsgi-nginx

Flask + uWSGI + Nginx Docker config

dumbo

Python module that allows one to easily write and run Hadoop programs.

frcnn-keras-tf

Implementation of Faster RCNN with ROI pooling and RPN from scratch.

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

kaggle

Repository for code used in Kaggle competitions.

keras-frcnn

keras_frcnn

A naive implementation of Faster RCNN using Keras.

learning-spark-examples

Examples for learning spark

neuralnets

Plain Neural Nets + Micheal Neilsons book implementation.

object-localization

Object localization in images using simple CNNs and Keras

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks