eulertech Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

1000faces

abstractive-summarization-with-transfer-learning

Abstractive summarisation using Bert as encoder and Transformer Decoder

acapellabot

Acapella Extraction with a ConvNet

adcirc

ADCIRC

ae_ts

Auto encoder for time series

afs

Automatical feature selection machine learning

agriculture_knowledgegraph

农业知识图谱(KG)：农业领域的信息检索，命名实体识别，关系抽取，分类树构建，数据挖掘

aiexperiments-bird-sounds

Thousands of bird sounds visualized using machine learning.

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

allaboutscala

Source code for www.allaboutscala.com tutorials

backup

scripts to back up

berkshire

NLP analysis of Warren Buffett's annual letters.

big-data-analysis

Example code of big data analysis PySpark code for CTR, Regression, PCA, Recommendation System problems.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cleo

Plotting on map projections

code_challenge

various code challenges code

coursera_deep_learning

This something about deep learning on Coursera by Andrew Ng

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

fast.ai Courses

csvtogeojson

A small python utility for converting CSV data to geoJSON

csvtojson

A tool concentrating on converting csv data to JSON with customised parser supporting

data-preprocessing-python

Data pre-processing utilities for Predictive Modelling

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deeplearningbook

MIT Deep Learning Book in PDF format

deeplearningcrudeoilforecast

SDAE with FNN

deeplearntoolbox

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.

echo-sonos-apple-music

Amazon Echo integration with Sonos

el-grafo

GSoC 2014 project - D3-based Bio4j data model visualization