Here are
39 public repositories
matching this topic...
A state-of-the-art semi-supervised method for image recognition
Updated
Oct 8, 2020
Python
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Updated
Jan 28, 2021
Python
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Updated
Sep 15, 2020
Python
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
Updated
May 20, 2018
Python
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Updated
Dec 8, 2017
Python
Hiding Images within other images using Deep Learning
Updated
Apr 25, 2018
Jupyter Notebook
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Updated
Feb 9, 2018
Jupyter Notebook
Implementation for <Deep Hyperspherical Learning> in NIPS'17.
Updated
May 3, 2018
Python
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Updated
Oct 9, 2019
Python
Code for "Effective Dimensionality Reduction for Word Embeddings".
Updated
Apr 17, 2021
Python
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
Updated
Oct 15, 2019
Python
End-to-End Differentiable Proving
Updated
Nov 21, 2018
NewLisp
Structured Bayesian Pruning, NIPS 2017
Updated
Jul 10, 2020
Jupyter Notebook
Convolution dictionary learning for time-series
Updated
May 13, 2021
Python
Our NIPS 2017: Learning to Run source code
Updated
Aug 12, 2019
Python
Binary Convolution Network for faster real-time processing in ASICs
Updated
Jun 14, 2018
Jupyter Notebook
text convolution-deconvolution auto-encoder model in PyTorch
Updated
Mar 1, 2018
Python
Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
Updated
Feb 12, 2018
Python
PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
Updated
May 3, 2018
Python
Code for NIPS 2017 learning to run challenge
Updated
Nov 15, 2017
Python
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
Updated
Jan 30, 2018
Jupyter Notebook
Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
Updated
Aug 21, 2018
Python
Chainer implementation of the paper "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results" (
https://arxiv.org/abs/1703.01780 )
Updated
Jul 11, 2018
Python
Reproduction code for WGAN-LP
Updated
Dec 27, 2017
Python
Selective Classification For Deep Neural Networks.
Updated
Jan 13, 2018
Jupyter Notebook
Fast-Slow Recurrent Neural Networks
Updated
Jan 31, 2018
Python
Tensorflow Implementation of adversarial learning based adversarial example generator
Updated
Jan 31, 2018
Python
NIPS 2017 Paper implementation challenge Learning Linear Dynamic Systems via Spectral Filtering
Updated
Jan 7, 2018
Jupyter Notebook
Dilated Recurrent Neural Networks
Updated
Jan 28, 2018
Python
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