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-building-scalable-distributed-systems-04

anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

building-scalable-distributed-systems-01

building-scalable-distributed-systems-02

building-scalable-distributed-systems-03

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cors_sol

Give information for solving cors issue

coursemanagementapp

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

d3

A JavaScript visualization library for HTML and SVG.

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

deep-learning-papers-reading-roadmap

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

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark

digital-distribution-framework

foundations_of_artificial_intelligence

gan-image2image

This repository contains all the Image to Image generation using Vanilla GAN and Deep Convolution GAN.

gan-text2image-reverseocr

hackdelft

HackDelft

image-processing-application

java-string-similarity

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

natural-language-processing

All assignments of course Natural Language Processing - CS 6120

nmt-keras

Neural Machine Translation with Keras (Theano/Tensorflow)

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

remote-roofing-dashboard-challenge

sbstarter

social-network-user-interaction

tensorflow

Computation using data flow graphs for scalable machine learning

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.