Text-Generation-with-PyTorch-Techniques-and-Examples

Deep Learning for humans

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Clone a voice in 5 seconds to generate arbitrary speech in real-time

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

Learn how to design, develop, deploy and iterate on production-grade ML applications.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

?AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.