1,990 skills found · Page 1 of 67
facebookresearch / DetectronFAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
facebookresearch / Maskrcnn BenchmarkFast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
open-edge-platform / AnomalibAn anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
rafaelpadilla / Object Detection MetricsMost popular metrics used to evaluate object detection algorithms.
ayooshkathuria / Pytorch Yolo V3A PyTorch implementation of the YOLO v3 object detection algorithm
roboflow / TrackersTrackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
mahyarnajibi / SNIPERSNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
SeldonIO / Alibi DetectAlgorithms for outlier, adversarial and drift detection
dog-qiuqiu / Yolo Fastest:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
dog-qiuqiu / Yolo FastestV2:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
D-X-Y / Landmark DetectionFour landmark detection algorithms, implemented in PyTorch.
kroitor / Gjk.cGilbert-Johnson-Keerthi (GJK) collision detection algorithm in 200 lines of clean plain C
dog-qiuqiu / FastestDet:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
ethanhe42 / KL LossBounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
xiaohulugo / 3DLineDetectionA simple and efficient 3D line detection algorithm for large scale unorganized point cloud
Waikato / MoaMOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
hasauino / Rrt ExplorationA ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.
Western-OC2-Lab / Intrusion Detection System Using Machine LearningCode for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
MulongXie / UIEDAn accurate GUI element detection approach based on old-fashioned CV algorithms [Upgraded on 5/July/2021]
kLabUM / Rrcf🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
