dineshbarri Goto Github PK

alexnet-experiments-keras

Code examples for training AlexNet using Keras and Theano

awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

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

cnngesturerecognizer

Gesture recognition via CNN. Implemented in Keras + Theano + OpenCV

coding-interview-university

A complete computer science study plan to become a software engineer.

competitive-coding

competitive-programming-library

Code library for competitive programming purposes.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deep-image-analogy

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

django-basic-apps

Some basic django files

face-detection-opencv

Face detection using OpenCV and Python

floyd-docs

FloydHub's documentation code. Please feel free to make pull requests!

how_to_make_a_chatbot

This is the code for "How to Make a Chatbot - Intro to Deep Learning #12' by Siraj Raval on YouTube

kaggle

Codes for Kaggle Competitions

kaggle_santanderproductrecommendation

Santander Product Recommendation competition on Kaggle

keras-deep-learning-tutorials

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mymovielist

Description of all movies in vizag

nadia

Natural Dialogue System

object-detection-development

opencv

Open Source Computer Vision Library

some-basic-django-apps-

Django basic apps for teesting

tensorflow

Computation using data flow graphs for scalable machine learning

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

the-gan-zoo

A list of all named GANs!

titanic_problem_attempt1

This is the code of my first submission to the Titanic Problem. It got a score of 0.8 and a rank of rougly 1000. I'm making it public. Upon improvement, i.e. dividing the dataset into pieces per title and tickets and applying random Forest to each segment the accuracy can be improved to 0.91(Within top 50 ranks). It's all a game of maintaining probability. I'm currently ranked 14th in the contest.

topdeeplearning

A list of popular github projects related to deep learning

zcosolutions

Solutions to Zonal Computing Olympiad Problems