Welcome to the SciPy 2017 Cython tutorial! This blog aims to guide you through setting up your environment to make the most out of the tutorial. Let's dive in! End Goal Before we begin, ensure you have the following: The contents of this repository. A CPython...
Running Large PyTorch Models on Multiple GPUs with Tensor Parallel
Tired of being limited by the capacity of a single GPU while working with large PyTorch models? Fear not! With tensor parallelism, you can run large models smoothly across multiple GPUs with just one line of code. This article is your user-friendly guide to getting...
Getting Started with Amazon Bedrock Samples
Welcome to your guide on harnessing the power of the Amazon Bedrock service through pre-built code examples. This repository is designed to help developers dive deep into Bedrock and make the most out of its capabilities. Introduction to Bedrock Amazon Bedrock is a...
Navigating the World of NLP Conference Papers with arXiv Statistics
In the bustling realm of Natural Language Processing (NLP), staying updated with the latest research is crucial. This blog will guide you through the labyrinth of NLP conference papers, highlighting prominent conferences, providing acceptance rates, and detailing how...
How to Leverage Continuous Machine Learning (CML) for Your AI Projects
In the modern landscape of artificial intelligence, Continuous Machine Learning (CML) emerges as a lighthouse guiding developers through the murky waters of model training and deployment. This open-source CLI tool integrates seamlessly with platforms like GitHub,...
Awesome Multi-Task Learning: Your Guide to Mastering the Art of Simultaneous Learning
Multi-task learning (MTL) has emerged as a transformative approach in the field of computer vision, allowing models to learn multiple tasks simultaneously. This article serves as a comprehensive guide to get you introduced to the world of multi-task learning, its...
Exploring Image Deblurring via Encoded Blur Kernel Space
In the realm of image processing, deblurring is akin to restoring a picture that has fallen prey to the unpredictable elements of motion or focus discrepancies. Today, we unravel an approach that meticulously encodes blur operators of sharp-blur image pairs into a...
How to Implement Flash Linear Attention
In the rapidly evolving field of artificial intelligence, Flash Linear Attention stands out as an innovative approach for efficient large-scale language modeling. This blog post will guide you through the setup and usage of the Flash Linear Attention library. Getting...
Smart Traffic Signals in India Using Deep Reinforcement Learning and Advanced Computer Vision
The rapid growth of the economic sector in India since the 1990s has brought about a significant transformation in transportation. With the influx of vehicles, especially in bustling metropolitan cities like Bangalore and Delhi, traffic congestion has escalated,...







