BindsNET: An Open-Source Library Used For Simulating Spiking Neural Networks (SNNs) On CPUs Or...

If you are a computer scientist specialized in bioinformatics and computational biology and looking for a Python framework for simulating spiking neural...

Introducing HANet: An Add-On Module For Urban-Scene Segmentation

HANet (height-driven attention networks) is an add-on module introduced by this research group via a paper to exploit the intrinsic features of...

Horovod: Uber’s Open Source Distributed Deep Learning Framework

'Horovod' is an open-source distributed deep learning framework created by Uber's AI team. This framework is used for applications in TensorFlow, Keras,...

PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch

Content-based image retrieval (CBIR) uses a representation of visual content to identify relevant images, and it is one of the fundamental research...

MindSpore: An Open-Source Deep Learning Training Framework For Mobile, Edge And Cloud Scenarios

Huawei Technologies Co. Ltd. recently open-sourced 'Mindspore', a framework for artificial intelligence-based application development. This lightweight framework is ready to give competition...

AutoViz: A New Tool For Automated Visualization in Data Science

If you are looking for a tool that can perform automated visualization, AutoViz could be good one to try. It performs automatic...

UC Berkeley Researchers Open-Source ‘RAD’ To Improve Any Reinforcement Learning Algorithm

In Reinforcement Learning (RL), it has always been challenging to learn from visual observations, which is a fundamental yet challenging problem. Despite...

OpenAI releases Jukebox, a machine learning framework that generates music

OpenAI recently launched Jukebox, a model that generates music with singing in the raw audio domain. As a generative model for music,...

Facebook AI open-sources Blender, the largest-ever open-domain chatbot

When we talk about chatbots, good conversation is the primary object of any machine learning model and requires appropriate training data and...

SpeechSplit, an autoencoder that can decompose speech into content, timbre, rhythm and pitch

Human speech can be broken into four important components: content, timbre, pitch, and rhythm. The first component 'content' ofspeech shows the primary...
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