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dnth / DEIMKit
Forked from ShihuaHuang95/DEIMDEIMKit is a Python package that provides a wrapper for DEIM: DETR with Improved Matching for Fast Convergence. Check out the original repo for more details.
Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"
RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
Extremely fast and scalable Python FTP server library
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
Finds where frc robots are located on field, allowing for match strategy analysis
This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]
Collection of publicly available IPTV channels from all over the world
A guidance language for controlling large language models.
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
An open-source alternative to Ngrok, designed to serve production traffic and be simple to host (particularly on Kubernetes)
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Convert V7 Darwin datasets to Roboflow datasets (including annotations).
Simple RTSP (streaming image) server for the ESP32CAM. Easy configuration and monitoring through the web interface.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
A framework for merging models solving different tasks with different initializations into one multi-task model without any additional training
A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
a state-of-the-art-level open visual language model | 多模态预训练模型
Graph theory (network) library for visualisation and analysis
Foundational Models for State-of-the-Art Speech and Text Translation
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Telegram bot for interaction with the YOLO model in inference server
A batched offline inference oriented version of segment-anything