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l33ts (thi3nl0ng)

thi3nl0ng

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tensorflow

An Open Source Machine Learning Framework for Everyone

Language:C++License:Apache-2.0Stargazers:185332Issues:7603Issues:39699

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Language:PythonLicense:NOASSERTIONStargazers:81837Issues:1744Issues:44611

awesome-public-datasets

A topic-centric list of HQ open datasets.

License:MITStargazers:59997Issues:2272Issues:113

scikit-learn

scikit-learn: machine learning in Python

Language:PythonLicense:BSD-3-ClauseStargazers:59333Issues:2141Issues:11106

numpy

The fundamental package for scientific computing with Python.

Language:PythonLicense:NOASSERTIONStargazers:27469Issues:593Issues:12724

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Language:PythonLicense:BSD-3-ClauseStargazers:22205Issues:398Issues:636

deep-learning-with-python-notebooks

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

Language:Jupyter NotebookLicense:MITStargazers:18165Issues:647Issues:184

tutorials

PyTorch tutorials.

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:8086Issues:178Issues:787

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Language:PythonLicense:MITStargazers:6702Issues:176Issues:1443

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Language:JavaLicense:GPL-3.0Stargazers:609Issues:54Issues:86

speech-recognition-neural-network

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Language:HTMLStargazers:186Issues:11Issues:10

tornado

The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.

Language:PythonLicense:MITStargazers:127Issues:7Issues:2

data-streams

You will find (about) synthetic and real-world data streams in this repository.

Stargazers:47Issues:2Issues:0

cmuxstream-core

Static (Python) and streaming (C++) implementations of xStream (KDD 2018).

Language:C++License:Apache-2.0Stargazers:29Issues:3Issues:0

codes-for-moa

My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.

Language:JavaLicense:MITStargazers:24Issues:4Issues:2

deepSimDEF

deepSimDEF offers single- and multi-channel deep learning models for functional analysis of genes using Gene Ontology annotations of gene products (RNAs, proteins, etc).

Language:C++License:MITStargazers:12Issues:0Issues:0

D-Stream

Implementation of the D-Stream clustering algorithm for use in MOA. An earlier version is included as part of the MOA 17.06 release.

Language:JavaLicense:Apache-2.0Stargazers:12Issues:1Issues:5

MixtureModelGenerator

Data stream generators (with and without concept drift) compatible with MOA 17.06.

Language:JavaLicense:GPL-3.0Stargazers:4Issues:0Issues:2

simDEF

simDEF is an NLP-based model for gene function analysis using Gene Ontology annotations of gene products and proteins.

Language:PerlLicense:MITStargazers:3Issues:0Issues:2

MDDM

This repository is prepared for McDiarmid Drift Detection Methods.

Stargazers:3Issues:1Issues:0

StreamKM

Modifications to the StreamKM algorithm implemented in MOA. Now included as part of the MOA 17.06 release.

Language:JavaStargazers:3Issues:0Issues:0