Building NanoGPT from Scratch in PyTorch: A Beginner-Friendly Guide to Transformers
building NanoGPT step by step using PyTorch.
U²-Net with PyTorch: Salient Object Detection and Background Removal Tutorial
Learn how to implement U²-Net with PyTorch for salient object detection and background removal. Step-by-step guide with code examples and explanations.
Teaching Robots to Slide Objects: TQC Reinforcement Learning on FetchSlideDense-v4
you will learn how to train a Truncated Quantile Critics (TQC) agent on the FetchSlideDense-v4 environment using Stable-Baselines3 and Gymnasium Robotics.
Mastering Autonomous Parking with SAC and HER: A Deep Reinforcement Learning Guide
Reinforcement Learning (RL) is revolutionizing autonomous driving, and one of the key challenges is autonomous parking—a complex task requiring precise control and decision-making. In this blog, we’ll explore how Soft Actor-Critic (SAC) combined with Hindsight Experience Replay (HER) can train an RL agent to master parking in the highway-env environment.
Solving the MuJoCo HumanoidStandup Task with PPO and Stable-Baselines3
We learn to solve MuJoCo HumanoidStandup problem using PPO with the help of stable baseline.