Emmanuel Echeonwu (eecheonwu)

eecheonwu

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Emmanuel Echeonwu's repositories

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

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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.

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AIX360

Interpretability and explainability of data and machine learning models

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AMMI_2020_Deep_learning_review

The Deep learning course revision materials

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computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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fastText

Library for fast text representation and classification.

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gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

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kmer

A Python code for generating k-mer features for a set of DNA/ genomic sequences.

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lale

Library for Semi-Automated Data Science

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learn2learn

A PyTorch Library for Meta-learning Research

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lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

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OTML_Statlearn2018

Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018

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POT

POT : Python Optimal Transport

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pycon_time_series

PyCon 2017 tutorial on time series analysis

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PyTorch-1.x-Reinforcement-Learning-Cookbook

PyTorch 1.x Reinforcement Learning Cookbook, published by Packt

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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pytorchviz

A small package to create visualizations of PyTorch execution graphs

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Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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sent2vec

General purpose unsupervised sentence representations

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skorch

A scikit-learn compatible neural network library that wraps pytorch

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sktime

A scikit-learn compatible Python toolbox for machine learning with time series

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sourmash

Compute and compare MinHash signatures for DNA data sets.

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sweetviz

Visualize and compare datasets, target values and associations, with one line of code.

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tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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texthero

Text preprocessing, representation and visualization from zero to hero.

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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