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awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bokehdepthoffield icon bokehdepthoffield

Implementing Different Algorithms to mimic Bokeh Depth Of Field: A Physical Camera Effect created due to Focal Length, Aperture size, shape

convnet icon convnet

Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

cuda-convnet2 icon cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

eccv-pirm2018 icon eccv-pirm2018

Code of the team Mt.Phoenix, champion of the PRIM2018 Perceptual Image Enhancement on Smartphones (Track B: Image Enhancement)

flask icon flask

A microframework based on Werkzeug, Jinja2 and good intentions

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

keraspersonlab icon keraspersonlab

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

megadepth icon megadepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

midas icon midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"

models icon models

Models and examples built with TensorFlow

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

neural-style-transfer icon neural-style-transfer

Implementation of Neural Style Transfer from the paper [A Neural Algorithm of Artistic Style](http://arxiv.org/abs/1508.06576) in Keras 1.0.4

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