roberttorres67

roberttorres67's Stars

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript290k38.4k

• NVlabs/stylegan

  StyleGAN - Official TensorFlow Implementation

  Language:Python14.1k3.2k

• snrazavi/Machine_Learning_2018

  Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

  Language:Jupyter Notebook204104

• iamshuvra/A-Deep-Learning-Framework-to-Reconstruct-Face-under-Mask

  Language:Jupyter Notebook122

• mikel-brostrom/boxmot

  BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

  Language:Python6.5k1.7k

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5k1.3k

• onehahaha756/yolov5_rotation

  Language:Python10620

• root12321/Rotation-Detect-yolov5_poly

  Language:Python7211

• SsisyphusTao/Object-Detection-Knowledge-Distillation

  An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

  Language:Python21351

• obss/sahi

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

  Language:Python3.9k571

• Intelligent-Quads/iq_tutorials

  446252

• gogs/gogs

  Gogs is a painless self-hosted Git service

  Language:Go44.7k4.8k

• pypa/sampleproject

  A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

  Language:Python5.1k1.7k

• rbonghi/jetson_stats

  📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

  Language:Python2.1k259

• baowenbo/DAIN

  Depth-Aware Video Frame Interpolation (CVPR 2019)

  Language:Python8.2k838

• BlueMirrors/cvu

  Computer Vision deployment tools for dummies and experts. CVU aims at making CV pipelines easier to build and consistent around platforms, devices, and models.

  Language:Python8819

• cvat-ai/cvat

  Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

  Language:TypeScript12.1k2.9k

• RangiLyu/nanodet

  NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

  Language:Python5.7k1k

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.3k2.2k

• KostadinovShalon/UAVDetectionTrackingBenchmark

  Language:Python7717

• tusharsarkar3/Detect_Drone

  Drone detection using YOLOv5

  Language:Python3514

• latsic/imgalign

  Webapplication for image stitching and aligning

  Language:C++30245

• creiser/drone-detection

  Bounding box detection of drones (small scale quadcopters) with CNTK Fast R-CNN

  Language:Python5019

• CAPTAIN-WHU/iSAID_Devkit

  [CVPR'W19-Oral] Official repository for "iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images"

  Language:Jupyter Notebook13219

• dingjiansw101/AerialDetection

  Language:Python791183

• KevinMuyaoGuo/yolov5s_for_satellite_imagery

  基于YOLOv5的卫星图像目标检测demo | A demo for satellite imagery object detection based on YOLOv5

  Language:Python20043

• hukaixuan19970627/yolov5_obb

  yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

  Language:Python1.8k421

• hukaixuan19970627/DOTA_devkit_YOLO

  Trans DOTA OBB format(poly format) to YOLO format.

  Language:Jupyter Notebook19439

• CAPTAIN-WHU/DOTA_devkit

  Language:Jupyter Notebook628184

• dusty-nv/jetson-inference

  Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

  Language:C++7.7k3k