Welcome to our instructional guide on deploying deep learning and real-time vision with the DNN library designed for NVIDIA Jetson devices. By utilizing TensorRT, you can run optimized networks on GPUs using either C++ or Python while leveraging PyTorch for model...
How to Implement UniTR: A Unified Multi-modal Transformer for 3D Perception
In the rapidly evolving world of artificial intelligence, handling data from diverse sensors is crucial for achieving reliable and robust autonomous driving systems. The UniTR - Unified Multi-modal Transformer, is a breakthrough approach that efficiently integrates...
Deep Reinforcement Learning in Keras: A Guide to Implementation
Welcome to the world of Deep Reinforcement Learning (DRL) where artificial intelligence learns how to make decisions through trial and error. In this blog post, we will explore modular implementations of popular DRL algorithms using Keras and OpenAI Gym. If you're...
How to Visualize Attention Maps with Cross Attention
In the dynamic world of AI development, visualizing how your model focuses on different parts of input data is crucial for enhancing performance and interpretability. This guide will walk you through the process of extracting and visualizing Cross Attention Maps using...
How to Get Started with Licensecoax: Plug-n-Play Reinforcement Learning in Python
If you're looking to dive into the world of Reinforcement Learning (RL) using the Licensecoax framework, you’ve landed on the right page! Licensecoax provides a user-friendly interface to harness the capabilities of Gymnasium and JAX. Let's embark on this journey of...
Bullet-Proof Hyperparameter Experiments with TensorFlow and Keras
Overview Talos significantly enhances standard TensorFlow (tf.keras) and Keras workflows by automating hyperparameter experiments and model evaluations, all while maintaining full access to the original frameworks. The animation above illustrates how a minimal...
Credit Card Fraud Detection using Machine Learning: A Comprehensive Guide
Credit card fraud is a troubling issue, affecting millions globally. With the prowess of machine learning, we can forge effective solutions. This blog post will guide you through setting up a project aimed at detecting credit card fraud utilizing advanced sampling...
How to Get Started with LightNLP for Named Entity Recognition
LightNLP is a powerful library designed for Natural Language Processing (NLP) tasks, particularly Named Entity Recognition (NER). This guide will walk you through the entire process— from installation to deployment—making it as easy as pie! Installation Before we dive...
A Beginner’s Guide to Implementing CycleGAN with PyTorch
Welcome to the exciting world of image-to-image translation! In this blog post, we'll be navigating through a clean and readable PyTorch implementation of CycleGAN, a revolutionary model that allows for the transformation of images from one domain to another...