Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Iceraven Browser

Base yolov11n.pt trained on 6877 images of Drones and UAVs

Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.

Training LLMs with QLoRA + FSDP

my little YOLO annotator with some nice automation

A reference implementation of a JSON package in Java.

Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"

This repository is an official implementation of the paper "LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection".

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.

Global Ensemble Digital Terrain modeling and parametrization at 30~m resolution (GEDTM30)

Camouflaged Object Detection, CVPR 2020 (Oral)

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

A Python library for parsing MISB ST 0601 Key Length Value (KLV) metadata.

conv_visualizer

Nodejs interface to Gibbs-SeaWater (GSW) Oceanographic Toolbox in C++

Java module to interact with ROS2 (Robot Operating System)

The goal of project Busy Bee is to create a lightweight object detection model capable of identifying Bees and tracking their movements. If possible, we would like to also differentiate between dif…

NVIDIA GPU Powerlimit Systemd Setup Script

A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with…

Images to inference with no labeling (use foundation models to train supervised models).

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

A collection of learning resources for curious software engineers

Creation of annotated datasets from scratch using Generative AI and Foundation Computer Vision models

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

compute, storage, and networking infra at home

Playing Pokemon Red with Reinforcement Learning