EdwinChien's Stars
samet-akcay/ganomaly
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
DataXujing/YOLO-v5
:art: Pytorch YOLO v5 训练自己的数据集超详细教程!!! :art: (提供PDF训练教程下载)
LongxingTan/tfyolo
tfyolo: Efficient Implementation of Yolov5 in TensorFlow
mdhmz1/Auto-Annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
anhtuan85/Data-Augmentation-for-Object-Detection
Data Augmentation For Object Detection using Pytorch and PIL
Paperspace/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
AgaMiko/data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
facebookresearch/detr
End-to-End Object Detection with Transformers
google-research/vision_transformer
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
bubbliiiing/yolov4-tf2
这是一个yolo4-tf2(tensorflow2)的源码,可以用于训练自己的模型。
wvangansbeke/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
jahongir7174/YOLOv5-tf
YOLOv5 implementation using TensorFlow 2
bubbliiiing/yolov4-keras
这是一个YoloV4-keras的源码,可以用于训练自己的模型。
augmentedstartups/YOLOv4-Tutorials
This video tutorial series shows you how to infer and train your own custom YOLOv4 models, Step-by-step
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
sicara/tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.x
CarlosLannister/beautifulMaps
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
apple/tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
dusty-nv/jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
robbebluecp/tf2-yolov4
yolov4 base on keras of tf2+, tf2 support perfectly
sicara/tf2-yolov4
A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection
qqwweee/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
developer0hye/PyTorch-Darknet53
PyTorch implementation of Darknet53
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
zhaoweicai/Detectron-Cascade-RCNN
Cascade R-CNN in Detectron
kweisamx/SSD-PyTorch
SSD (Single Shot MultiBox Detector) implement in PyTorch and OpenCV.