Stars
[NeurIPS 2024] Code release for "Segment Anything without Supervision"
Script to typecast ONNX model parameters from INT64 to INT32.
An easy to use PyTorch to TensorRT converter
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
We write your reusable computer vision tools. 💜
ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
A lightweight tool for obtaining and visualising the discrete near-infrared (NIR) data using the Plastic Scanner
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Collection of dataset from different boards and spectrometers
This repository contains the software and hardware for a low-cost and handheld system for the identification of plastic types based on discrete near infrared (NIR) reflectance spectroscopy.
Hardware files for the DB2.X (development board) of the Plastic Scanner project
A Full-Scale Connected UNet for Medical Image Segmentation
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
Accelerate segment anything model inference using Tensorrt 8.6.1.6
Serve, optimize and scale PyTorch models in production
Tools to scrape publication metadata from pubmed, arxiv, medrxiv and chemrxiv.
ENet - A Neural Net Architecture for real time Semantic Segmentation
Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
This Repository is implementation of majority of Semantic Segmentation Loss Functions
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
Machine learning from scratch