Deep Learning

🔧🔗https://github.com/facebookresearch/habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

🔧🔗https://github.com/pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

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

🔧🔗github hf diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

🕸️🔗huggingface.co/docs/diffusers

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/modelscope/modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

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/lucidrains/rectified-flow-pytorch

Implementation of rectified flow and some of its followup research / improvements in Pytorch

https://github.com/lucidrains/gigagan-pytorch Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

https://github.com/lucidrains/magvit2-pytorch Implementation of MagViT2 Tokenizer in Pytorch

🔧🔗https://github.com/lucidrains/transfusion-pytorch

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

🔧🔗https://github.com/lucidrains/vector-quantize-pytorch Vector (and Scalar) Quantization, in Pytorch

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/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/Lightning-AI/lightning-Habana Lightning support for Intel Habana accelerators.

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/lucidrains/q-transformer Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

🔧🔗https://github.com/pytorch/serve

Serve, optimize and scale PyTorch models in production

🔧🔗https://github.com/lucidrains/pi-zero-pytorch

Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence