Welcome to the intriguing world of Chinese calligraphy enhanced by cutting-edge technology! With an innovative approach using Conditional Adversarial Networks (CANs), you can now master the beautiful art of writing Chinese characters via the zi2zi application. This...
The PINTO Model Zoo provides a treasure trove of models inter-converted between numerous frameworks like TensorFlow, PyTorch, ONNX, and others, perfect for squeezing the most out of your neural networks. In this guide, we’ll walk through how to utilize these models...
Welcome to the world of TT-NN and TT-Metalium, powerful tools for building neural networks and hardware programming in Python and C++. In this guide, we will explore how to set them up and start your journey into deep learning. Buckle up, and let's dive in! Step 1:...
If you're excited about harnessing the power of modern AI technology to create your own interactive Q&A platform, this guide is for you! In this article, we’ll walk you through setting up a ClassGPT using Streamlit, LlamaIndex, and LangChain. So roll up your sleeves,...
Welcome to your ultimate guide to using QSV, a command line tool designed to simplify your CSV data-wrangling tasks at unmatched speeds. Whether you’re querying, slicing, transforming, or validating CSV files, QSV offers a comprehensive toolkit to meet your data...
Understanding performance in machine learning can be a daunting task, especially when considering scalability, speed, and accuracy. This article provides a guide on how to conduct a minimal benchmark for classification tasks using various machine learning libraries,...
Welcome to the world of autonomous driving simulations! With the rapid advancement in artificial intelligence, tools like **DI-drive** are paving the way for a future where cars can make decisions just like us. In this blog, we’ll explore how to install and run...
The Kesci underwater object detection challenge has taken the world by storm, operating at a remarkable mean Average Precision (mAP) of 48.7. This article will guide you through implementing the state-of-the-art Cascade R-CNN detection algorithm using various...
FARM, which stands for Framework for Adapting Representation Models, is an incredibly useful tool designed to simplify the process of Transfer Learning with models like BERT. Built on top of transformers, FARM makes it simpler, faster, and ready for enterprise usage....
