niumull

niumull

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

License:Apache-2.0Stargazers:8944Issues:0Issues:0

deep-learning-models

Implementations of popular deep learning models in Theano+Lasagne

Language:PythonLicense:MITStargazers:24Issues:0Issues:0

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

Language:PythonLicense:BSD-3-ClauseStargazers:809Issues:0Issues:0

Relation-Network-Tensorflow

Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.

Language:PythonLicense:MITStargazers:321Issues:0Issues:0

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

Language:Jupyter NotebookLicense:MITStargazers:9268Issues:0Issues:0

sklearn-expertsys

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Language:PythonStargazers:486Issues:0Issues:0

Python_for_Data_Science

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

Language:Jupyter NotebookStargazers:306Issues:0Issues:0

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

Language:Jupyter NotebookStargazers:3473Issues:0Issues:0

awesome-R

A curated list of awesome R packages, frameworks and software.

Language:RStargazers:5916Issues:0Issues:0