Here are
143 public repositories
matching this topic...
[CVPR2020] Adversarial Latent Autoencoders
Updated
May 2, 2020
Python
A Collection of Variational Autoencoders (VAE) in PyTorch.
Updated
Mar 22, 2020
Python
an incremental approach to compiler construction
Updated
Oct 9, 2019
Scheme
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Updated
Apr 27, 2020
Jupyter Notebook
TensorFlow implementation of Independently Recurrent Neural Networks
Updated
Aug 22, 2019
Python
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
Updated
Aug 26, 2019
Python
Tensorflow implementation of Neural Scene Representation and Rendering
Updated
Mar 30, 2020
Python
Knowledge Distillation: CVPR2020, Revisiting Knowledge Distillation via Label Smoothing Regularization
Updated
May 11, 2020
Python
Implementation of character based convolutional neural network
Updated
Nov 17, 2019
Python
📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Updated
Nov 5, 2019
Jupyter Notebook
Author's implementation of SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (SIGGRAPH Asia 2019 Technical Paper)
Updated
Dec 30, 2018
Python
explorations in core.logic
Updated
Aug 31, 2019
Clojure
Share some recent speaker recognition papers and their implementations.
Updated
Sep 26, 2019
Python
This code is to implement the IndRNN.
Updated
May 28, 2019
Python
Implementation of the paper: Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
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Aug 24, 2019
Python
Updated
Feb 10, 2020
Python
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
Updated
May 22, 2020
Python
Is This a Joke? Humor Detection in Spanish Tweets
Updated
Oct 18, 2019
Python
PyTorch implementation of relation extraction via convolutional neural network with multi-size convolution kernels.
Updated
Mar 14, 2019
Python
The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
Updated
Mar 28, 2019
Python
Implementation of Edge Computing papers.
Updated
Sep 7, 2019
MATLAB
Image inpainting via dictionary learning and sparse representation.
Updated
Jun 5, 2019
Python
Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".
Updated
Mar 28, 2019
Jupyter Notebook
An implementation of BERT using PyTorch's TransformerEncoder
Updated
Dec 15, 2019
Python
PyTorch implementation of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL(CVPR 2016)
Updated
Mar 18, 2018
Python
A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
Updated
Jan 3, 2020
Jupyter Notebook
Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"
Updated
Nov 8, 2017
Python
A PyTorch implementation of SRNTT, which is a novel RefSR method.
Updated
Dec 5, 2019
Python
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Hello, can you explain the function of the parameters in the runExperiment.py file in the readme, i want to read your code, it is difficult to read for me