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Screening Eagle Dreamlabs
- Singapore
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12:00
(UTC +08:00) - https://screeningeagle.com
Stars
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
Install the AWS CLI on modern Macs without a package manager
A lightweight, powerful framework for multi-agent workflows
Solve Visual Understanding with Reinforced VLMs
A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models such as YOLO, FastVLM, and more.
A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.
Standard Go Project Layout
Coursera Open Courses from University of Toronto
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
This repository is an official implementation of the paper "LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection".
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
Tool to create freehand color correction lookup tables for OpenCV
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Try CoreML models on multiple images and videos easily and quickly
Semi-supervised Semantic Segmentation on the ImageNet-S dataset
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]