#deep-learning

7 items

Use and train state-of-the-art pretrained models for text, vision, audio, video and multimodal tasks, for both inference and training.

Generate and edit images with Stable Diffusion in a browser interface, using text-to-image, img2img, inpainting, upscaling and more.

Learn how large language models work by coding a GPT-like model in PyTorch step by step, from pretraining to finetuning.

Generate speech from text with pretrained models, or train and fine-tune your own text-to-speech models, including XTTS voice models.

Clone a voice from a few seconds of audio and generate arbitrary speech in real time, with Mandarin support.

Use pretrained diffusion models in Python to generate images, audio and video, or train your own diffusion models.

Optimize and deploy deep learning models for faster inference on CPUs, Intel GPUs and NPUs, from edge to cloud.