Python library that uses LLMs and graph-based pipelines to extract structured data from websites and local documents from a natural-language prompt.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
Offline IP-to-region lookup library and data management framework supporting IPv4 and IPv6 with xdb query clients.
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
Meta's Segment Anything Model 2 for promptable segmentation in images and videos, with inference code, checkpoints, and example notebooks.
Vim commands built on fzf for fuzzy-finding files, buffers, git files, search results, lines, tags and more.