single-file "bottle.py" , a website-application µ framework
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Updated
Oct 15, 2018 - Python
single-file "bottle.py" , a website-application µ framework
A Keras implementation of YOLOv3 (Tensorflow backend)
A PyTorch toolkit for 2D Human Pose Estimation.
⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.
Python-based code for estimation of highway bottleneck probability using speed transition matrices.
Visualize the Latent Space of an Autoencoder using matplotlib
Method to estimate the age and intensity of recent bottlenecks/founder events, using genotype data and a recombination map.
simple ABM program to simulate a moving danger (e.g., fire) and people in a confined space trying to escape the danger
Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch
Tensorflow implementation of deep variational information bottleneck
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
DenseNet implementation in Keras
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