Nikolaos Dionelis (nd1511)

nd1511

Geek Repo

Company:Imperial College London, London, U.K.

Location:London, U.K.

Home Page:https://www.commsp.ee.ic.ac.uk/~sap/people-nikolaos-dionelis/

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Nikolaos Dionelis's repositories

kaldi

This is now the official location of the Kaldi project.

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librosa

Python library for audio and music analysis

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awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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CS224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

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foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

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google-research

Google AI Research

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

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ParlAI

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

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pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

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pySpeechRev

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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pytudes

Python programs to practice or demonstrate skills.

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scikit-learn

scikit-learn: machine learning in Python

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torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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torchpack

Develop and research with PyTorch more easily.

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Castor

PyTorch deep learning models by the Data Systems Group at the University of Waterloo

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keras-contrib

Keras community contributions

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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mlcourse.ai

Open Machine Learning Course

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msmtools

Tools for estimating and analyzing Markov state models

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nlp-architect

NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

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probability

Probabilistic reasoning and statistical analysis in TensorFlow

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PyEMMA

🚂 Python API for Emma's Markov Model Algorithms 🚂

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shogun

Shōgun

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spark-deep-learning

Deep Learning Pipelines for Apache Spark

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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