The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A guidance language for controlling large language models.

Neural Networks: Zero to Hero

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Official inference library for Mistral models

A collection of pre-trained, state-of-the-art models in the ONNX format

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

CoTracker is a model for tracking any point (pixel) on a video.

Structured state space sequence models

Model API for GALACTICA

Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

Supporting PyTorch models with the Google AI Edge TFLite runtime.

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

Tutorial notebooks for hls4ml

TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.

Multidimensional indexing for tensors

A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.

Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices

Recursive Leasting Squares (RLS) with Neural Network for fast learning