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...

List of COVID-19 Resources for Machine Learning and Data Science Research

Here is a list of COVID-19 tools and public datasets which could be really helpful in understanding the disease (COVID-19) and performing...

Implementing Batching for Seq2Seq Models in Pytorch

In this tutorial, we will discuss how to implement the batching in sequence2sequene models using Pytorch. We will implement batching by...

This ‘TensorDash’ application lets you track and monitor deep learning model metrics

Now you can monitor your deep learning model using an application called 'TensorDash' remotely instead of sitting in front of your workstation...

Carla: Open-source simulator for autonomous driving research

While the possibility of autonomous vehicles driving our streets in the near future is getting closer, the research in developing technologies to...

Top Artificial Intelligence Influencers To Follow in 2020

Yoshua Bengio: Yoshua Bengio OCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He was a co-recipient of...

List of Global Artificial Intelligence / Machine Learning Conferences in 2020

Below is a list of upcoming Artificial Intelligence/ Machine Learning Conferences in 2020. CONFERENCE NAMECOUNTRYCONFERENCE DATESWEBSITESGlobal AI ConferenceUSAJanuary 21-23,...

Deepinsight : User-Friendly Deep Learning Tool to Decode Neural Activity in an Automated Way

DeepInsight is a deep learning-based decoding framework for discovering and characterizing the neural correlates of behavior and stimuli in unprocessed neural data....

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.