Basic examples of nested sampling (for computing the evidence, aka partition function).
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Updated
Feb 17, 2016 - Python
Basic examples of nested sampling (for computing the evidence, aka partition function).
Transfer Learning using AlexNet architecture
Bachelor Project: Training a hierarchical RNN Network to infer navigation in a dynamic scenario
Introduces the utilization of MMdnn(a model converter) and provide a simple GUI for inference task of image classification.
Sequential Monte Carlo sampler for PyMC2 models.
Probabilistic Models of Human and Machine Intelligence
Assignments and exercises from Advanced Econometrics 1&2
Handwritten Digits Recognition
Network inference via Event Space Linearization (ESL)
TF Object Detection API with simultaneous validation & more validation metrics!
Image Captioning using show-and-tell model
PyHRF is a set of tools to analyze fMRI data and specifically study hemodynamics.
Inference algorithms based on the AIMA textbook
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