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action-recognition
c++
some c++ projectC++Project
CVPR
Deblurring
deepsort
gradcnn
image/video compress
interpretability
Linux
LLM
Machine Learning
MMLAB
MTL
nvidia-jetson
objectDetection
poseestimation
PYQT
Pytorch
pytorch_models
pytorch_pruning
pytorch_tool
some toolsReID
Remote sensing and spectroscopy
some Infrared spectral algorithmRGB-IR-detection
segment
someTest
SpectrumAnalysis
TimeSeries
Time Series PredictionTransferLearning
超分辨率
部署
Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
deep learning for image processing including classification and object-detection etc.
Open standard for machine learning interoperability
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image augmentation for machine learning experiments.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
End-to-End Object Detection with Transformers
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A paper list of object detection using deep learning.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A python library for user-friendly forecasting and anomaly detection on time series.
A PyTorch implementation of EfficientNet
A Library for Advanced Deep Time Series Models.
Object detection, 3D detection, and pose estimation using center point detection:
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models