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Search results for deep learning grid
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17 search results found
Pytorch Receptive Field
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323
Compute CNN receptive field size in pytorch in one line
Deep_marching_cubes
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228
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
Scan2cad
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203
[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
3dmmasstn
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194
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
Text Detection Using Yolo Algorithm In Keras Tensorflow
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122
Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.
Flex Convolution
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93
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Vehicle Detection
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64
Detect vehicles in a video
Deep 3d Obj Recognition
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62
3D Object Recognition with Deep Networks Project for 3D Vision - ETHZ
Rectinet
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42
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping
Nested Responsive Grid
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42
Generate a responsive grid that maintains it’s column sizes two levels deep.
Hexagdly
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41
Process hexagonally sampled data with PyTorch
Tensorflow Grid Lstm
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25
Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)
Insightedge
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22
InsightEdge Core
Natural Gradient Deep Q Learning
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21
Gryds
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20
A Python package for geometric transformations of images for data augmentation in deep learning
Deepgame
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20
Multi-agent reinforcement learning programs based on Game theory
Fluidml
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19
FluidML is a lightweight framework for developing machine learning pipelines.
Lagomorph
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13
Image Registration and Computational Anatomy in PyTorch
Hrp2_apc
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10
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map (Humanoids2016)
High Order Layers Torch
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9
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.
Acl20 Code Switching Patterns
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7
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection
Reinforcement Learning
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7
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Heya
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6
Robot moves over a grid world, and transmit the information
Jupyter Notebooks
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5
Jupyter notebooks
H2o Tutorial
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5
H2O Tuning and Ensembling Tutorial for R
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1-17 of 17 search results
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