Monte Carlo Tree Search Based AI Connect 4 Bot
PyTorch Exercise Codes for Deep Learning Researchers.
Python tools for supervised learning on Quantum Neural Networks
Libraries & tools for enabling data-analytics driven approaches to improving user-experiences on the web. The data can be driven from any number of sources, including analytics or machine learning models.
Interactive Go programming with Jupyter
End-to-End Speech Processing Toolkit
dependently-typed neural network DSL that shapechecks at compile time
This is a Tensorflow implementation of Learning to See in the Dark in CVPR 2018, by Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun.
This repository contains the code for the paper “Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise”.
TFslim based semantic segmentation models, modular & extensible boutique design
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Machine Learning for .NET
A cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers
An opensource machine learning library for C# .Net. The goal of SharpLearning is to provide .Net developers with easy access to machine learning algorithms and models.
A package for Apache Spark providing Topological Data Analysis Functionalities.
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