deep-learning

🔧🔗https://github.com/HumanSignal/label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

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

https://github.com/roboflow/supervision We write your reusable computer vision tools. 💜

https://github.com/Lightning-AI/torchmetrics Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications. 🔗 https://lightning.ai/docs/torchmetrics/

https://github.com/lucidrains/x-transformers A simple but complete full-attention transformer with a set of promising experimental features from various papers

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/lucidrains/SAC-pytorch

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/roboflow/notebooks Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding D

https://github.com/lucidrains/rotary-embedding-torch Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

🔧🔗https://github.com/poloclub/diffusion-explainer

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

🔧🔗https://github.com/poloclub/transformer-explainer

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

🔧🔗https://github.com/poloclub/cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

https://github.com/lucidrains/audiolm-pytorch Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

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

https://github.com/Lightning-AI/ecosystem-ci 🔗 https://devblog.pytorchlightning.ai/stay-ahead-of-breaking-changes-with-the-new-lightning-ecosystem-ci-b7e1cf78a6c7 Automate issue discovery for your projects against Lightning nightly and releases.

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