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Must-read papers on graph neural networks (GNN)
By employing sophisticated algorithms, it autonomously infers AutoGRN to model and predict complex temporal dependencies in power systems. This tool seamlessly integrates with time-series data, off…
A Song Recognition Program using Shazam Algorithm
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
🚀【CVPR 2024】Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph,本项目提出了中文复合事件的概念与显式模式,包括条件事件、因果事件、顺承事件、反转事件等事件抽取,并形成事理图谱。
Deep learning models trained to correct input errors in short, message-like text
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the …
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…