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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  • point-cloud
  • 3d-detection
  • autonomous-driving
  • pv-rcnn

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

  • realtime
  • real-time
  • instance-segmentation
  • yolact

A unified, comprehensive and efficient recommendation library

  • recommender-systems
  • collaborative-filtering
  • knowledge-graph
  • ctr-prediction

Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

  • onednn
  • oneapi
  • performance
  • cpp

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.