deep-learning

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface.co/transformers https://github.com/huggingface/transformers

https://github.com/Lightning-AI/pytorch-lightning 🔗 lightning.ai Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

https://github.com/mlc-ai/web-llm High-performance In-browser LLM Inference Engine

https://github.com/Lightning-AI/lightning-Habana Lightning support for Intel Habana accelerators.

https://github.com/roboflow/roboflow-python The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

https://github.com/Lightning-AI/litgpt 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. 🔗 https://lightning.ai/

🔧🔗https://github.com/lutzroeder/netron Visualizer for neural network, deep learning and machine learning models

https://github.com/Lightning-AI/tutorials Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks. 🔗 https://lightning-ai.github.io/tutorials

https://github.com/YuanGongND/ltu Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

https://github.com/coqui-ai/TTS 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

https://github.com/coqui-ai/STT 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

https://github.com/coqui-ai/TTS-recipes 🐸TTS recipes for different datasets