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graph-neural-networks-for-graph-classification
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classificationconvert-pytorch-onnx-tensorrt
Converting weights of Pytorch models to ONNX & TensorRT enginesconditional-GAN
Pytorch implementation of Conditional-GAN (CGAN)MultiWOZ2.1-parser
MultiWOZ2.1-Parser for Dialogue State TrackingHMLET
HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)yolo-series
Pytorch implementation of Yolo seriesframe-difference-SSIM
Computing frame difference between current frame and previous frame or first frame with SSIM(Structural Similarity Index Measure)aggression-identification-in-text
Identifying trolling, aggression, cyber-bullying and hate speech etc. Three classes: Overtly Aggressive (OAG), Covertly Aggressive (CAG), and Non-aggressive (NAG)byte-tracker
ByteTrack for multi-object tracking with many DetectorsIterative-Kernel-Correction
IKC: Blind Super-Resolution With Iterative Kernel Correctioncamera-calibration
Examples of camera calibration, camera parameters visualizationLove Open Source and this site? Check out how you can help us