#GANs

Explore a broad range of sophisticated deep reinforcement learning algorithms in Pytorch, emphasizing continuous action spaces. Efficiently train on CPUs or GPUs and straightforwardly evaluate with OpenAI Gym. This repository includes various model-free and model-based RL algorithms, offering techniques like DDPG, PPO, and soft actor-critic, in addition to experimental methods such as prioritized experience replay. Flexible for extensions, it accommodates environments from classic games to complex robotic tasks.

This repository contains a wide range of Google Colaboratory notebooks catering to tasks in NLP, NLG, and computer vision. It features models like T5 and DialoGPT for language processing, ViT and ConvNeXT for visual tasks, and unique applications like 3D photo inpainting. Users can also find tutorials and projects on UI/UX with GPT2, making it suitable for those researching diverse ML domains. Explore and tailor these ML projects effortlessly.

This repository provides an organized collection of research papers, code, and resources related to GANs and NeRFs, with a focus on audio and image-driven talking head synthesis. It includes a variety of datasets, tools, and metrics, making it a useful resource for those researching or developing realistic digital human faces. The platform is regularly updated with community contributions, ensuring its status as a continually evolving resource. Many papers are accessible through 'arXiv' and other academic channels, although some require an academic license.