Equipped with tools such as Python, NumPy, TensorFlow, PyTorch, spaCy and Hugging Face, learners engage in guided tutorials ...

In this video, I'm going to teach you how to write unit tests in Python using a module called Pytest. It's a skill you'll ...

In order to achieve autonomy, a promising method is for the intelligent agents to leverage the techniques in the field of artificial intelligence, especially reinforcement learning (RL) and deep ...

Deep learning has achieved remarkable success in numerous domains with help from large amounts of big data. However, the quality of data labels is a concern because of the lack of high-quality labels ...

In this repository there are a number of tutorials in Jupyter notebooks that have step-by-step instructions on how to deploy a pretrained deep learning model on a GPU enabled Kubernetes cluster. The ...

python machine-learning reinforcement-learning ai cpp simulation tensorflow oop sfml 2d deep-q-learning Updated 2 weeks ago C++ ...

Discover best programming languages for data science. Learn how Python, R, and other top coding languages help you succeed in data analytics programming.

Super useful for keeping things organized. Let’s get into it. Harnessing Pre-installed Python Libraries in Google Colab Google Colab is ready to roll with a ton of pre-installed Python libraries, ...

This book may be of interest to Gadget Masters getting serious with the use of AI and looking to develop their own learning model. It's called Practical Deep Learning. Or Practical Deep Learning (2nd ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Inspired by the recent progress on deep research agents, we design the first deep research agent for code, called Code Researcher, and apply it to the problem of generating patches for mitigating ...