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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...

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...

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...

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...

This Python Package ‘Causal ML’ Provides a Suite of Uplift Modeling and Causal Inference...

'Causal ML' is a Python package that deals with uplift modeling, which estimates heterogeneous treatment effect (HTE) and causal inference methods with...

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,...

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.

Recognizing Malaria Cells Using Keras Convolutional Neural Network(CNN)

Artificial Intelligence has vast-ranging attention and its utilization in the healthcare business or industry. As an intense learner and a Kaggle beginner,...
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