findingfoot Goto Github PK

a-scratch-pad

applied-bioinformatics

This repo contains all the coursework done in the Applied Bioinformatics course.

bigdl-tutorials

Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL

changing-wallpaper

computer-vision

This repo contains all the coursework done in the Image analysis and computer vision course.

data-intensive-computing

bigdata

deep-forecast

The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.

deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

deeplearning-mxnet

MXNet for CTR

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

fashion-mnist-tensorflow

This contains all the Fashion MNIST experients done by me during my course at KTH using tensorflow

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

horovod

Distributed training framework for TensorFlow.

item-item-similarity-based-recommendation-system

This is a personal project for designing a recommendation system for an ecommerce website.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-with-python

Python codes for common Machine Learning Algorithms

mapreducepatterns

Repository for MapReduce Design Patterns (O'Reilly 2012) example source code

math-of-machine-learning-course-by-siraj

Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

ml-interview

Preparing for machine learning interviews

ml_practice-codes

personal repo for practice work done in ML

models

Models built with TensorFlow

natural-language-processing-with-python

Following the homonymous course and playing with code - I could not fork it within O'Reilly gitlab

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pyspark-tutorial

PySpark-Tutorial provides basic algorithms using PySpark

python_challenges

scalable-machine-learning--yelp