Intel Student Ambassadors

Ujwal Tewari

Apr 21, 2020

Natural Language Generation using BERT

Text Generation using BERT Model

Prakhar Mishra

Apr 10, 2020

Using AI for managing renewable energy generation and management

Harnessing power of AI to build a robust solar irradiation forecasting pipeline for efficient management and integration of solar energy…

Abhijit Gupta

Mar 30, 2020

Neuroimaging and Intel BrainIAK

In this article, we will learn about the basics of Neuroimaging and get started with the Intel Brain Image Analysis Kit.

Varad Srivastava

Jan 22, 2020

Enhancing Contextual User Explainability of Neural Network Predictions

Background

Bryan Phee

Jan 19, 2020

Replication woes: Hurdles for reproducibility in deep learning

An attempt to replicate a recently published speech-to-text model comes across a major hurdle. What insights about the field can be…

Nick Monto

Jan 3, 2020

Managing ‘Face Generation using GANs’ project using MLflow

What is MLflow?

Chirag Bajaj

Dec 26, 2019

Latest

Neural Compilation using End to End Models and NMT Techniques

After recently completing an operating systems class this quarter, I couldn’t help but think about the different potential approaches that…

David Morley

Dec 26, 2019

Ajinkya Jawale

Nov 6, 2019

Local Interpretable Model-Agnostic Explanations (LIME) — the ELI5 way

Introduction

Chirav Dave

Aug 13, 2019

Smartly Detect & Classify Scanned Documents

As a part of an ongoing project for my current summer internship, I’ve been working…

Powering the Edge: Unleashing the potential of ML

Intel Student Ambassador Community

Vast New Insights Surrounding Advanced Computing & Research Using Intel Architecture

Live Graph Simulation using Python, Matplotlib and Pandas

Natural Language Generation using BERT

Using AI for managing renewable energy generation and management

Neuroimaging and Intel BrainIAK

Enhancing Contextual User Explainability of Neural Network Predictions

Replication woes: Hurdles for reproducibility in deep learning

Managing ‘Face Generation using GANs’ project using MLflow

Neural Compilation using End to End Models and NMT Techniques

Traffic violations detection using Faster R-CNN with Intel® DevCloud

Securing Windows: Machine Learning for Cybersecurity

Attention in end-to-end Automatic Speech Recognition

Segmentation Using Generative Adversarial Networks

Tips On Training Your GANs Faster and Achieve Better Results

Graph Policy Gradients for Large Scale Robot Control

Kernel Density Estimation with Python using Sklearn

Local Interpretable Model-Agnostic Explanations (LIME) — the ELI5 way

Introduction

Smartly Detect & Classify Scanned Documents

Powering the Edge: Unleashing the potential of ML