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1. PracticalAI PracticalAI Public

   Forked from GokuMohandas/Made-With-ML

   📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

   Jupyter Notebook

2. detr-demo detr-demo Public

   A simple demo of how to use Facebook's DETR object detector for inference. DETR: End-to-End Object Detection with Transformers.

   Jupyter Notebook 4 1

3. Bayesian-Neural-Networks Bayesian-Neural-Networks Public

   Forked from JavierAntoran/Bayesian-Neural-Networks

   Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

   Jupyter Notebook 1

4. mmdetection mmdetection Public

   Forked from open-mmlab/mmdetection

   Open MMLab Detection Toolbox and Benchmark

   Python

5. pdq_evaluation pdq_evaluation Public

   Forked from david2611/pdq_evaluation

   Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

   Python

6. pyvarinf pyvarinf Public

   Forked from ctallec/pyvarinf

   Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

   Python