Welcome to our comprehensive guide on setting up the Visual 3D Detection Package for the KITTI dataset. This package is an exciting opportunity for developers and researchers interested in visual tasks related to autonomous driving. With a modular design and...
Creating an Image Labeling Tool: A Step-by-Step Guide
Welcome to the ultimate guide on setting up an Image Labeling Tool! This web application is designed to assist you in annotating images effortlessly. Whether you need to label images, draw bounding boxes, or segment them into multiple parts, this tool has got you...
Exploring Bayesian Machine Learning: A Comprehensive Guide
Welcome to the exciting world of **Bayesian Machine Learning**! This blog will walk you through how to access and utilize a collection of valuable Jupyter notebooks designed specifically for aspiring and experienced data scientists alike. Whether you are curious about...
Deploying Deep Learning: A Guide to Real-Time Vision on NVIDIA Jetson
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...