radrangi Goto Github PK
Type: User
Bio: Data Engineer
Location: Hyderabad
Type: User
Bio: Data Engineer
Location: Hyderabad
Cheat Sheets
:mortar_board: Jupyter notebooks from UFC data science course
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Ways of doing Data Science Engineering and Machine Learning in R and Python
Opinion Analysis of News, Threaded Conversations, and User Generated Content
Here's how to get DataQuest's Data Engineering Track missions' content to work on your localhost. Using data from my Valenbisi ARIMA modeling project, I document my steps using PostgreSQL, Postico, and the Command Line to get our DataQuest exercises running out of a Jupyter Notebook.
common data analysis and machine learning tasks using python
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
Train our agent to play Breakout Game using 4 models and 2 CNN structures
Deep Learning Tutorial notes and code. See the wiki for more info.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Created for toolchain: https://console.bluemix.net/devops/toolchains/846962e0-7a7b-4170-b6e1-a716e869ef23?env_id=ibm%3Ayp%3Aus-south
Test based on the code of: Rußwurm M., Körner M. (2017). Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017.
Deep Learning with TensorFlow, Keras, and PyTorch
Documentation for Grin and Mimblewimble
TensorFlow Implementation of "Unsupervised Cross-Domain Image Generation"
Recipes for Driverless AI
:art: Image processing toolbox for R
Example Python DS project
Demo applications and code examples for Confluent Platform and Apache Kafka
Apache Kafka and Confluent Platform examples and demos
FACE RECOGNITION ---------------- The Yale Face Database contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink. Your tasks are the following: 1. I have divided image into small blocks and extracted local binary patterns (LBP) from each block. Concatenated all LBP histograms to make a feature vector of an image. 2. Another feature vector is created out of gray levels of integral image. 3. Finally gray levels of image have been used as the last feature vector. 4. After Concatenating all feature vectors. I have Taken four images of each person for testing and the rest as training examples. 5. Using PCA to classify image for one-verses all classification scheme, i have shown results for few images that are selected randomly and reported the accuracy for all testing images using individual feature sets (gray level, integral, and LBP separately) and also for concatenated feature sets.
Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, Landoop Tools, 20+ connectors
:books: Freely available programming books
Free, open source crypto trading bot
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.